PODCAST · business
Self-Driving Cars with Fexingo: Autonomous Vehicles, Lidar, and Mobility Tech
by Fexingo
Lucas and Luna dissect the business of autonomous mobility — not the hype, but the unit economics, sensor supply chains, and regulatory timelines that separate viable players from vaporware. Each episode opens with fresh data: lidar sensor prices from Yole Group, NHTSA accident reports, Waymo and Cruise fleet expansion figures, and the latest SPAC filings from mobility-tech startups. Lucas, a journalist covering automotive tech for a decade, presses the numbers: 'Is L4 deployment actually accelerating, or are we just seeing more test miles reported?' Luna, an engineer turned product strategist, matches him with on-the-ground sourcing — what a procurement manager at a Tier 1 supplier told her about LiDAR yield rates, or why a city planner in Austin chose to restrict autonomous delivery bots. Together, they build a grounded picture of who's winning the talent war (former Tesla Autopilot engineers now at Aurora), which chip fabs are securing long-term contracts for radar SoCs, and why ins
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Why Self-Driving Cars Can't Handle Parking Lots
Episode 60 of Self-Driving Cars with Fexingo tackles a surprisingly tough challenge for autonomous vehicles: navigating parking lots. Lucas and Luna break down the technical hurdles that make parking lots more complex than highways—from irregular layouts and tight spaces to unpredictable pedestrian behavior. They reference Tesla's struggles with valet mode, Waymo's cautious approach, and GM's Cruise as they explore why this everyday environment remains a frontier for AVs. The conversation includes market context, with recent stock performances of key players like Tesla (up to $400) and Rivian (around $16.50), and a brief listener-supported moment that powers the show. A concrete, insightful episode for anyone curious about the real-world limits of self-driving tech. #SelfDrivingCars #AutonomousVehicles #ParkingLots #AVChallenges #Waymo #Tesla #Cruise #GM #Rivian #Lidar #ComputerVision #Robotaxi #FexingoBusiness #Technology #BusinessPodcast #MobilityTech #EdgeCases #AutonomousDriving Keep every episode free: buymeacoffee.com/fexingo
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Autonomous Vehicles Still Can't Handle Drive-Throughs
Episode 59 of Self-Driving Cars with Fexingo dives into a surprisingly tough challenge for autonomous vehicles: the drive-through lane. Lucas and Luna explore why fast-food and coffee pickup lanes—with their tight spaces, unpredictable stop-and-go, and reliance on human handoffs—push current AV stacks to their limit. They reference Rivian's recent lawsuit over false self-driving promises and examine what companies like Waymo and Cruise have said about curbside operations. The hosts also discuss whether the answer lies in better sensor fusion, dedicated 'robotic' drive-through lanes, or a fundamental redesign of both the car and the restaurant. No fluff, just a focused look at a mundane scenario that's proving anything but simple for AI drivers. #AutonomousVehicles #SelfDrivingCars #DriveThrough #Waymo #Cruise #Rivian #FastFood #AVChallenges #Lidar #EdgeCases #Robotics #Technology #MobilityTech #FexingoBusiness #BusinessPodcast #SelfDrivingCarsWithFexingo #AIDriving #CurbsidePickup Keep every episode free: buymeacoffee.com/fexingo
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Autonomous Vehicles Can't Handle School Buses Yet
Episode 58 of Self-Driving Cars with Fexingo examines why autonomous vehicles struggle with school buses. Lucas and Luna break down the specific challenges: the unique visual profile of a yellow bus, the unpredictability of children running, the stop-arm law variations across states, and the complex hand signals from drivers. They reference recent news of a Waymo bus interaction in Arizona and connect it to broader industry data, including Tesla and Ford stock movements. The conversation also highlights how this gap reflects deeper limitations in perception and prediction algorithms. Listeners learn why school buses represent a worst-case scenario for AV sensor fusion and what it means for deployment timelines. #AutonomousVehicles #SelfDrivingCars #SchoolBuses #Waymo #Tesla #Ford #AVSafety #Lidar #PerceptionAlgorithms #SensorFusion #AutonomousDriving #MobilityTech #Technology #AVChallenges #RoadSafety #FexingoBusiness #BusinessPodcast #Fexingo Keep every episode free: buymeacoffee.com/fexingo
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Why Autonomous Vehicles Still Can't Handle Traffic Lights
Episode 57 of Self-Driving Cars with Fexingo explores a surprising weakness: why self-driving cars still struggle with traffic lights. Lucas and Luna dive into a recent NHTSA report showing that over 12% of AV disengagements in 2025 were triggered by traffic signal confusion—from misreading green arrows to hesitating at blinking reds. They break down the technical challenges: how current cameras and lidar can be fooled by sun glare, LED refresh rates, and synchronized flashing patterns. The conversation touches on Tesla's vision-only approach versus Waymo's multi-sensor stacks, and why even the best AVs still rely on high-definition maps that go stale. With Rivian up 4.6% this week and GM down 1.6%, the hosts tie the stock moves to broader investor sentiment about autonomous timelines. A grounded, specific look at an unsolved problem. #AutonomousVehicles #SelfDrivingCars #TrafficLights #Waymo #Tesla #Rivian #GM #NHTSA #Lidar #ComputerVision #Technology #FexingoBusiness #BusinessPodcast #AVSafety #SmartInfrastructure #MachineLearning #SensorFusion #HDMaps Keep every episode free: buymeacoffee.com/fexingo
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Why Autonomous Vehicles Still Can't Handle Trains
Lucas and Luna explore a persistent blind spot in autonomous vehicle technology: railroad crossings. While self-driving cars have made strides in handling pedestrians, cyclists, and even emergency vehicles, they still struggle with the complexity of grade crossings — from multiple tracks and gates to freight trains that can take minutes to pass. The hosts discuss why lidar and cameras can be fooled by reflections, why crossing arms and warning lights pose a unique perception challenge, and what companies like Waymo and Tesla are doing to address it. They also touch on recent stock moves in the EV and AV space, including Tesla's six percent gain over the past five days, and reflect on the broader lesson: that the hardest problems in autonomous driving are often the most mundane. A concise, example-driven episode for anyone curious about the real-world limits of self-driving technology. #AutonomousVehicles #SelfDrivingCars #RailroadCrossings #Waymo #Tesla #Lidar #PerceptionSystems #AVSafety #GradeCrossings #Trains #FexingoBusiness #BusinessPodcast #Technology #TeslaStock #WaymoOne #AVChallenges #MobilityTech #DriverlessCars Keep every episode free: buymeacoffee.com/fexingo
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Mobileye's Robotaxi Launch Puts It on Both Sides of the AV Business
Episode 55 of Self-Driving Cars with Fexingo dives into Mobileye's unusual robotaxi strategy in the US. Unlike Waymo or Cruise, which operate their own fleets, Mobileye plans to sell its self-driving technology to multiple ride-hail operators while also running a small fleet itself. Lucas and Luna break down the 'both sides' business model, what it means for the autonomous vehicle industry, and how the stock market is reacting — with Tesla up 6% in five days and the Global X Autonomous & Electric Vehicles ETF (DRIV) up 6.4%. A specific, data-driven look at how one company is trying to escape the winner-take-most trap of AVs. #Mobileye #Robotaxi #AutonomousVehicles #SelfDrivingCars #AVBusinessModel #Waymo #Cruise #Tesla #Qualcomm #Technology #Business #FexingoBusiness #BusinessPodcast #StockMarket #DRIV #AVETF #Lidar #MobilityTech Keep every episode free: buymeacoffee.com/fexingo
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Why Autonomous Vehicles Still Can't Handle Gravel Roads
In episode 54 of Self-Driving Cars with Fexingo, Lucas and Luna dig into why autonomous vehicles struggle with unpaved roads. Using recent data from Rivian and Lucid, they explore how gravel, dirt, and loose surfaces confuse sensor suites and control algorithms. The conversation covers lidar limitations, traction modeling failures, and why most AV testing ignores rural routes. Specific examples include a 2025 study showing 80% of AV disengagements on gravel occur due to false-positive obstacle detection. Lucas and Luna also tie in how automakers like GM and Ford are adapting truck-based systems for semi-autonomous off-road use. A focused look at a surprisingly hard problem for self-driving tech. #GravelRoads #AutonomousVehicles #SelfDrivingCars #LidarLimitations #Rivian #LucidMotors #Ford #GMMotors #OffRoadDriving #SensorFusion #TractionControl #AVTesting #RuralDriving #UnpavedRoads #Technology #FexingoBusiness #BusinessPodcast #SelfDrivingCarsWithFexingo Keep every episode free: buymeacoffee.com/fexingo
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Why Autonomous Vehicles Still Can't Handle Tunnels
In this episode of Self-Driving Cars with Fexingo, Lucas and Luna dive into one of the most stubborn blind spots for autonomous vehicles: tunnels. From GPS dropouts and lidar bounce to the deadly 2023 Tesla crash in the Bay Area, they explain why even the most advanced robotaxis struggle underground. They discuss sensor fusion challenges, how automakers like Tesla and Waymo are tackling the problem, and why the recent SpaceX IPO's $85.7 billion raise could funnel more money into autonomy tech. Plus, a look at how 5G and infrastructure upgrades might finally help self-driving cars navigate the dark. A focused, technical deep dive for anyone curious about the real limits of AV technology. #SelfDrivingCars #AutonomousVehicles #Tunnels #Lidar #Tesla #Waymo #SensorFusion #GPS #5G #Infrastructure #Technology #FexingoBusiness #BusinessPodcast #Innovation #Safety #Robotaxis #SpaceX #IPO Keep every episode free: buymeacoffee.com/fexingo
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Why Autonomous Vehicles Still Can't Handle Construction Zones
Self-driving cars have been tested for years, yet construction zones remain a major stumbling block. In this episode, Lucas and Luna explore why temporary lane shifts, ambiguous signage, and human flaggers confuse even the most advanced sensor stacks. They discuss how Tesla's vision-only approach struggles where LiDAR excels, and why mapping companies like Waymo and Mobileye are investing in real-time map updates. Plus, a look at the economics: with GM's Cruise spending billions per year, is the fix worth the cost? The conversation ties into recent market moves from Tesla and GM, and the broader challenge of deploying AVs in imperfect infrastructure. #AutonomousVehicles #SelfDrivingCars #ConstructionZones #Lidar #Tesla #Waymo #Mobileye #Cruise #GM #Infrastructure #Technology #Business #FexingoBusiness #BusinessPodcast #Podcast #AI #FutureOfMobility #RoadSafety Keep every episode free: buymeacoffee.com/fexingo
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Why Autonomous Vehicles Can't Handle Funeral Processions
Episode 51 of Self-Driving Cars with Fexingo tackles a bizarre but critical edge case: funeral processions. Lucas and Luna break down why autonomous vehicles struggle with the convoy behavior, right-of-way violations, and social norms of funeral processions. They reference recent market moves in Rivian and Lucid, and explain how a single procession in Ohio last year exposed fundamental gaps in AV perception and decision-making. The hosts also discuss why this matters for public trust and regulatory approval, and how companies like Waymo and Tesla are approaching the problem. Plus, a brief, ad-free moment on listener support. #AutonomousVehicles #SelfDrivingCars #FuneralProcessions #EdgeCases #Rivian #Lucid #Waymo #Tesla #AVSafety #MobilityTech #PerceptionSystems #RightOfWay #ConvoyDriving #PublicTrust #Regulation #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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Why Self-Driving Cars Can't Handle Animals
Episode 50 of Self-Driving Cars with Fexingo explores a persistent blind spot in autonomous vehicle perception: animals. From deer on rural roads to dogs darting into traffic, AVs struggle to detect, classify, and predict the erratic movement of animals. Lucas and Luna discuss the technical challenge—why lidar and cameras miss wildlife, how machine learning models fail on rare animal shapes and behaviors—and look at real-world incidents, including a 2024 Waymo deer collision in Arizona and Tesla's struggle with moose in Sweden. They also examine emerging solutions: specialized animal detection datasets, thermal cameras, and predictive motion models. The episode lands on a sobering reality: animal accidents are rare but unpredictable, and unlike pedestrians, animals don't follow traffic rules. With autonomous vehicles expanding into rural areas, this problem is becoming harder to ignore. #SelfDrivingCars #AutonomousVehicles #Lidar #AnimalDetection #PerceptionSystems #AutonomousDriving #MachineLearning #ComputerVision #Waymo #Tesla #DeerCollision #Moose #ThermalCamera #Safety #DriverlessCars #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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Why Autonomous Vehicles Still Can't Handle Jaywalkers
In Episode 49 of Self-Driving Cars with Fexingo, Lucas and Luna tackle a persistent blind spot for autonomous vehicles: pedestrians who cross outside crosswalks. With jaywalking laws being decriminalized in cities like New York and Denver, self-driving cars face a new challenge—predicting erratic human behavior where no path is defined. The hosts dig into how Waymo, Cruise, and others train for this edge case, referencing a 2024 study showing AVs detect jaywalkers 30% slower than crosswalk pedestrians. They also touch on market performance of RIVN and GM as AV investment cools. A focused, data-driven conversation on one of autonomy's toughest unsolved problems. #SelfDrivingCars #AutonomousVehicles #Jaywalkers #PedestrianSafety #Waymo #Cruise #Lidar #EdgeCases #AVTechnology #Rivian #GeneralMotors #Decriminalization #UrbanMobility #AI #MachineLearning #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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Why Autonomous Vehicles Are Failing at Roundabouts
In this episode of Self-Driving Cars with Fexingo, Lucas and Luna dive into why roundabouts remain a persistent challenge for autonomous vehicles. They discuss the technical hurdles of predicting human driver intent at yield signs, the complex geometry of multi-lane circles, and how even Waymo's fleet in San Francisco struggles with these intersections. With roundabouts growing in popularity across the US—over 10,000 now installed—the hosts explore what's holding AVs back and what solutions are being tested, from V2I communication to improved sensor fusion. They also touch on Tesla's recent Autopilot updates and the broader industry timeline for solving this problem. #AutonomousVehicles #SelfDrivingCars #Roundabouts #AVChallenges #Waymo #TeslaAutopilot #Lidar #SensorFusion #V2I #USRoundabouts #Tech #Transportation #AI #MachineLearning #Safety #FexingoBusiness #BusinessPodcast #Technology Keep every episode free: buymeacoffee.com/fexingo
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Why Autonomous Vehicles Can't Handle Construction Workers
In this episode, Lucas and Luna explore why self-driving cars still struggle to safely navigate around construction workers. Using data from a 2025 study by the University of Michigan, they discuss how autonomous vehicles fail to predict the erratic movements of workers on foot near heavy machinery. They also touch on recent stock performance of companies like Tesla and GM, and how Mercedes-Benz is experimenting with augmented reality to communicate intent. The conversation highlights the gap between lidar-perfect road mapping and the chaotic reality of active construction zones. #AutonomousVehicles #SelfDrivingCars #ConstructionWorkers #Lidar #MercedesBenz #AugmentedReality #UniversityOfMichigan #Tesla #GM #Safety #AI #Technology #FexingoTechnology #BusinessPodcast #FexingoBusiness #MobilityTech #AutonomousDriving #ConstructionSites Keep every episode free: buymeacoffee.com/fexingo
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Why Autonomous Vehicles Can't Handle Potholes
Episode 46 of Self-Driving Cars with Fexingo examines why potholes remain a stubborn challenge for autonomous vehicle perception systems. Lucas and Luna break down how potholes break lidar and camera fusion, why they confuse neural nets trained on smooth roads, and how companies like Waymo and Tesla approach the problem differently. They also discuss real-world failures, the role of road maintenance data, and whether self-driving cars will ever navigate crumbling infrastructure. With Rivian down 5% this week and Tesla up 2%, the hosts connect market signals to the technical hurdles slowing deployment in pothole-prone markets. #SelfDrivingCars #AutonomousVehicles #Potholes #Lidar #ComputerVision #Waymo #Tesla #Rivian #Cruise #RoadMaintenance #Infrastructure #AI #NeuralNetworks #SensorFusion #Technology #FexingoBusiness #BusinessPodcast #MobilityTech Keep every episode free: buymeacoffee.com/fexingo
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Why Autonomous Vehicles Still Can't Handle Snow
In this episode of Self-Driving Cars with Fexingo, Lucas and Luna dig into one of the most stubborn challenges for autonomous vehicles: snow. With winter conditions covering roads in snow, ice, and slush, lidar and camera systems struggle to detect lane markings, curbs, and other vehicles. The hosts discuss how companies like Waymo and Tesla approach the problem, why simulation alone isn't enough, and what the industry is learning from test fleets in places like Minnesota and Michigan. They also touch on how recent market moves for Tesla and Rivian reflect investor patience with autonomy timelines. A concrete look at why snow remains the AV industry's toughest weather test. #AutonomousVehicles #SelfDrivingCars #Snow #Weather #Lidar #Waymo #Tesla #Rivian #Autonomy #AVTechnology #MachineLearning #SensorFusion #WinterDriving #Technology #Business #FexingoBusiness #BusinessPodcast #SelfDrivingCarsWithFexingo Keep every episode free: buymeacoffee.com/fexingo
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Why Self-Driving Cars Still Can't Drive in the Dark
Lucas and Luna dive into a little-discussed failure mode of autonomous vehicles: nighttime operation. Despite lidar and radar, self-driving systems struggle with low-light conditions, glare from oncoming headlights, and unexpected darkness. The episode focuses on a 2025 study from the University of Michigan showing that AVs have a 5.1 times higher disengagement rate at night compared to daylight. We discuss why night vision is harder for AI than for humans, how Tesla's pure-camera approach compounds the issue, and what companies like Waymo and Aurora are doing to improve. A concrete, technical look at a problem the industry is still solving. #AutonomousVehicles #SelfDrivingCars #NightVision #AutonomousDriving #Lidar #Radar #CameraOnly #Tesla #Waymo #Aurora #UniversityOfMichigan #AutonomousDrivingSafety #AVDisengagements #LowLightDriving #SelfDrivingTech #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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How Weather Is Beating Self-Driving Cars
Lucas and Luna examine why heavy rain, fog, and snow remain a major unsolved challenge for autonomous vehicles. They discuss how lidar and camera performance degrades in precipitation, why current sensor fusion struggles with wet-road reflections and reduced visibility, and what companies like Waymo and Tesla are doing to mitigate weather-related failures. Luna brings data from a University of Michigan study showing a 25-30% increase in disengagement rates during rain and fog. Lucas notes the market impact: a 5-day drop of 8.8% for TSLA and 18.5% for RIVN, reflecting investor concern about AV rollout delays. They also explore the emerging role of weather data services like 1DOT and AI-based 'weather filtering' that predicts when sensors will be unreliable. The episode closes with the hosts reflecting on whether weather will be the final obstacle to Level 5 autonomy, and a brief reminder that listener support keeps the show ad-free. #AutonomousVehicles #SelfDrivingCars #WeatherChallenges #LidarLimits #SensorFusion #Waymo #Tesla #Rivian #AVSafety #Level5Autonomy #MachineLearning #RainDriving #FogDriving #SnowDriving #Technology #FexingoBusiness #BusinessPodcast #MobilityTech Keep every episode free: buymeacoffee.com/fexingo
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Why Autonomous Vehicles Still Can't Handle Dirt Roads
Lucas and Luna dig into one of the most stubborn blind spots in autonomous driving: unpaved roads. Most self-driving systems are trained exclusively on high-definition maps of paved streets. When a vehicle hits gravel, packed dirt, or mud, its sensors lose reference points, lane markings vanish, and the AI struggles to interpret traction. Lucas cites a recent study from the University of Michigan showing that AV error rates triple on unpaved surfaces. He also draws on an interview with a Waymo safety engineer who admitted that unpaved roads remain a 'corner case we haven't cracked.' Luna points to Tesla's 2025 update that added a 'dirt road mode' in the FSD beta, and they debate whether the industry should build specialized off-road sensor suites or entirely new AI training regimes. They tie this to real-world implications for rural deployment, emergency vehicle access, and the promise of autonomous farm equipment. The episode includes a brief no-ads donation segment near the end. #AutonomousVehicles #SelfDrivingCars #DirtRoads #UnpavedRoads #AVChallenges #Waymo #Tesla #FSD #Lidar #MachineLearning #AI #Technology #MobilityTech #RuralAutonomy #FexingoBusiness #BusinessPodcast #TechPodcast #Episode42 Keep every episode free: buymeacoffee.com/fexingo
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Why Autonomous Vehicles Hate Merging Onto Highways
Episode 41 of Self-Driving Cars with Fexingo digs into a persistent blind spot: highway merging. Lucas and Luna break down why autonomous vehicles freeze or panic at on-ramps, using real-world data from California DMV disengagement reports. They explore the geometry problem—merging requires predicting human drivers' intentions at high speed—and how companies like Waymo and Tesla approach it differently. The hosts tie it to recent market moves: Rivian's R2 deliveries and a broader sector sell-off. Fresh angle, no recycled content. #AutonomousVehicles #SelfDrivingCars #HighwayMerging #OnRamps #Waymo #Tesla #Rivian #R2 #Technology #Safety #AvTesting #Lidar #FexingoBusiness #BusinessPodcast #MobilityTech #AvChallenges #CaliforniaDMV #DisengagementReports Keep every episode free: buymeacoffee.com/fexingo
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Why Autonomous Vehicles Can't Handle Gravel Roads
Episode 40 of Self-Driving Cars with Fexingo digs into a stubborn edge case: unpaved roads. Lucas and Luna explore why lidar and cameras fail on gravel, dust, and loose surfaces, and how companies like Waymo and Tesla are tackling the problem. They reference Rivian's recent 2.6% drop amid off-road autonomy challenges and GM's 2.7% gain as Cruise revisits rural testing. The conversation covers sensor fusion, road surface classification, and the long tail of autonomy beyond city streets. #AutonomousVehicles #SelfDrivingCars #GravelRoads #Lidar #EdgeCases #Waymo #Tesla #Rivian #Cruise #SensorFusion #OffRoad #Autonomy #FexingoBusiness #BusinessPodcast #Technology #SelfDriving #UnpavedRoads #MachineLearning Keep every episode free: buymeacoffee.com/fexingo
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Why Autonomous Vehicles Are Avoiding Motorcycle Riders
Episode 39 of Self-Driving Cars with Fexingo tackles a blind spot in autonomous vehicle perception: motorcycles. Lucas and Luna break down why lidar and camera systems struggle to track two-wheeled vehicles, citing a recent IIHS study showing that AVs detect motorcycles 30% less reliably than cars. They explore the physics of narrow profiles, the lack of training data, and what Waymo and Tesla are doing differently. With Tesla stock down 3.5% this week and LCID dropping 17%, the market is punishing companies that don't solve edge cases like this. A focused look at one of the most dangerous gaps in self-driving safety. #AutonomousVehicles #SelfDrivingCars #MotorcycleSafety #Lidar #Waymo #Tesla #IIHS #AVPerception #RoadSafety #Technology #Business #FexingoBusiness #BusinessPodcast #SelfDrivingCarsWithFexingo #LunaAndLucas #EdgeCases #AVTesting #MobilityTech Keep every episode free: buymeacoffee.com/fexingo
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How Autonomous Vehicles Handle Emergency Vehicles Now
Episode 38 of Self-Driving Cars with Fexingo tackles one of the most dangerous edge cases for autonomous vehicles: emergency vehicles. Lucas and Luna dig into new data from California's autonomous vehicle disengagement reports, which show that emergency vehicle encounters remain a top reason for human takeovers. They discuss why sirens and flashing lights confuse AI perception systems, how companies like Waymo and Cruise are training models to recognize specific emergency light patterns, and what the latest June 2026 incident data reveals. The episode also touches on the broader safety implications: if a robotaxi can't reliably yield to an ambulance, it's not ready for full deployment. With specific examples from the first half of 2026, including a notable near-miss in San Francisco, the conversation is grounded in real-world testing numbers. Plus, a brief moment on how listener support keeps this ad-free deep-dive possible. Perfect for anyone following autonomous vehicle development, AI safety, or the regulatory timeline for self-driving fleets. #AutonomousVehicles #EmergencyVehicles #Robotaxis #Waymo #Cruise #SelfDrivingCars #AVSafety #DisengagementReports #SirenDetection #PerceptionAI #Lidar #EdgeCases #CaliforniaDMV #SanFrancisco #MobilityTech #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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Why Autonomous Vehicles Are Avoiding School Zones
Episode 37 of Self-Driving Cars with Fexingo digs into a stubborn blind spot for autonomous vehicles: school zones. Lucas and Luna explore why robotaxis still struggle with the chaotic mix of crossing guards, flashing signs, and unpredictable kids. They cite recent data showing a 23.1% drop in Lucid stock and a 10.4% slide in Ford, linking investor skepticism to the industry's failure to solve edge cases like school zones. The conversation covers the difference between static speed limit signs and dynamic school zone signals, why lidar struggles with children's erratic movements, and how regulators in California are pushing for a dedicated 'school zone mode.' A natural, specific look at one of the hardest unsolved problems in autonomy. #AutonomousVehicles #SchoolZones #SelfDriving #Robotaxis #Lidar #EdgeCases #Regulation #CaliforniaDMV #Lucid #Ford #Tesla #Waymo #Cruise #Technology #Business #FexingoBusiness #BusinessPodcast #MobilityTech Keep every episode free: buymeacoffee.com/fexingo
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Why Autonomous Vehicles Still Can't Park Themselves Reliably
Episode 36 of Self-Driving Cars with Fexingo tackles the surprisingly stubborn problem of autonomous parking. While robotaxis handle complex highway merges and unprotected left turns, parallel parking and crowded garages still trip them up. Lucas and Luna break down why sensor blind spots, dynamic environments, and edge cases like valet lots remain unsolved. They reference recent stock drops in Tesla and Rivian as context for the industry's broader challenges. Plus: a look at how companies like Waymo and Bosch are approaching automated valet parking vs. on-street self-parking, and what it means for the timeline of truly driverless vehicles. #AutonomousVehicles #SelfDrivingCars #ParkingTechnology #Waymo #Tesla #Rivian #Bosch #AVChallenges #Robotaxi #Lidar #ComputerVision #EdgeCases #AutomatedValetParking #Technology #FexingoBusiness #BusinessPodcast #Fexingo #MobilityTech Keep every episode free: buymeacoffee.com/fexingo
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How Autonomous Vehicles Handle Traffic Lights
In this episode, Lucas and Luna dive into a surprisingly tricky corner of autonomous driving: traffic lights. While most people assume traffic signals are simple for self-driving cars, the reality is far messier. Lucas explains how different municipalities use wildly different hardware and timing patterns — from old-school incandescent bulbs to LED arrays with strobe-like refresh rates. He breaks down the engineering nightmare of visual interference, the challenge of detecting lights at different angles, and how vehicle-to-infrastructure communication might bypass the problem entirely. Luna brings a real-world example from Pittsburgh, where a grid of adaptive traffic signals left a test fleet confused. They also touch on recent market data showing the broader autonomous vehicle sector under pressure — Tesla down 6% in five days, the Global X Autonomous & Electric Vehicles ETF down 7.1% — and ask whether solving infrastructure edge cases like traffic lights could be the key to unlocking investor confidence. A tight, specific tech conversation for anyone who wants to understand what's really holding self-driving cars back. #AutonomousVehicles #SelfDrivingCars #TrafficLights #Lidar #VehicleToInfrastructure #V2I #SmartCities #Pittsburgh #Tesla #AutonomousVehicleETF #Technology #Engineering #EdgeCases #Infrastructure #ComputerVision #FexingoBusiness #BusinessPodcast #SelfDrivingCarsWithFexingo Keep every episode free: buymeacoffee.com/fexingo
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Why Autonomous Vehicles Still Can't Handle Stop Signs
Lucas and Luna dive into one of the most deceptively hard problems in self-driving: the four-way stop sign. Despite billions in R&D and millions of miles driven, autonomous vehicles still struggle with the subtle social negotiation of who goes next. Lucas breaks down why this isn't just a software bug — it's a fundamental challenge of predicting human intention. He cites new data from Waymo's Phoenix fleet showing that at multi-way stops, AVs take 40% longer to proceed than human drivers, and are involved in 3x more hesitation-related honking incidents. Luna connects it to the broader problem of edge cases that will take years to solve. They also touch on how the market is reacting — Tesla down 6% this week, and the iShares Self-Driving ETF off 7% — as investors start to realize how long the road ahead really is. #AutonomousVehicles #SelfDrivingCars #Waymo #StopSigns #EdgeCases #AI #MachineLearning #Robotaxi #Tesla #TSLA #Cruise #Uber #Lidar #SensorFusion #Technology #AutonomousDriving #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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Why Autonomous Vehicles Cut Off Emergency Vehicles
Lucas and Luna explore a persistent blind spot in self-driving technology: the inability to reliably detect and respond to emergency vehicles like ambulances and fire trucks. They examine real-world incidents, including an April 2026 crash involving a Waymo vehicle in Phoenix, and discuss why siren recognition and light detection remain harder than lidar mapping. The episode touches on training data gaps, sensor limitations, and what it will take to solve the problem. Hosts also explain how listener support keeps Fexingo ad-free. #AutonomousVehicles #SelfDrivingCars #EmergencyVehicles #Waymo #Cruise #Lidar #SirenDetection #AVSafety #PhoenixCrash #Technology #Podcast #FexingoBusiness #BusinessPodcast #LucasAndLuna #AVChallenges #SensorTechnology #MachineLearning #RoadSafety Keep every episode free: buymeacoffee.com/fexingo
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Why Autonomous Vehicles Still Struggle with Roundabouts
Self-driving cars can handle highways and city streets, but roundabouts remain a persistent challenge. In this episode, Lucas and Luna examine why circular intersections break autonomous vehicle logic — from unpredictable human drivers to occlusion problems and map limitations. They discuss how companies like Waymo and Cruise are testing new approaches, including dedicated roundabout training data and simulation. With Tesla stock down 4% in the past week and Ford dropping 12%, the hosts also connect roundabout performance to the broader commercial viability of autonomous fleets in Europe and the US, where roundabouts are increasingly common. A concrete look at one of autonomy's last unsolved geometry problems. #AutonomousVehicles #SelfDrivingCars #Roundabouts #Waymo #Cruise #Tesla #Ford #Lidar #Simulation #MachineLearning #Perception #Safety #MobilityTech #Technology #Business #FexingoBusiness #BusinessPodcast #AI Keep every episode free: buymeacoffee.com/fexingo
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Why Autonomous Vehicles Are Failing at Unprotected Left Turns
Unprotected left turns remain one of the hardest unsolved problems for self-driving cars. In this episode, Lucas and Luna unpack why a single human maneuver that takes two seconds is still stumping autonomous systems with billions of miles of training data. They walk through the sensor fusion challenge: how lidar, radar, and cameras disagree on the speed of an oncoming car at a 30-degree angle. They discuss why Waymo's Geofenced Phoenix service still struggles at certain left-turn-heavy intersections, and how Tesla's vision-only approach handles the same scenario differently. The conversation also touches on the human factor: how remote operators get called in disproportionately for left-turn decisions, and what that tells us about the limits of current AI. No abstract theory here — just the specific edge case that keeps autonomy engineers up at night. #AutonomousVehicles #SelfDrivingCars #UnprotectedLeftTurn #Waymo #Tesla #Lidar #SensorFusion #EdgeCase #Robotaxi #AI #AutonomousDriving #MobilityTech #Technology #FexingoBusiness #BusinessPodcast #Fexingo #LucasAndLuna #AutonomousVehicleSafety Keep every episode free: buymeacoffee.com/fexingo
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17
Why Uber Is Building a 500-Car Data Army for Self-Driving
Uber announced plans to put 500 data-collection vehicles on the road this year. Lucas and Luna dig into why this fleet exists, what it tells us about the state of autonomous vehicle training data, and how Uber is playing catch-up with Waymo and Tesla. They discuss the shift from simulation-only training to real-world data loops, the economics of running a dedicated mapping fleet, and what this means for the broader AV timeline. Along the way, they touch on Rivian's recent surge, why lidar costs are no longer the bottleneck, and how the data pipeline itself has become the moat in self-driving tech. #Uber #AutonomousVehicles #SelfDrivingCars #Waymo #Tesla #Rivian #Lidar #DataCollection #AVFleet #SelfDrivingTech #Mobility #Technology #Business #Podcast #FexingoBusiness #BusinessPodcast #TechPodcast #DataMoat Keep every episode free: buymeacoffee.com/fexingo
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16
Why Autonomous Vehicles Still Fail at Four-Way Stops
Episode 29 of Self-Driving Cars with Fexingo: Lucas and Luna dig into one of the most stubborn unsolved problems in autonomous driving — the four-way stop intersection. While robotaxis handle highways and simple traffic lights with ease, multi-way stops force human-like negotiation, eye contact, and social rules that AI still struggles with. Lucas explains why Waymo and Cruise vehicles sometimes freeze or get bullied at these intersections, citing a University of Michigan study showing that AVs take 40% longer than human drivers to clear a four-way stop. Luna connects the problem to the $85 billion Alphabet just raised for AI — is that kind of compute needed for something as basic as yielding? The episode explores how startups like L5Works are approaching the problem with game-theoretic models, and what it means for the broader rollout of autonomous fleets. If self-driving cars can't handle the stop sign at your corner, they're not ready for your neighborhood. #AutonomousVehicles #SelfDrivingCars #FourWayStops #Lidar #Waymo #Cruise #Alphabet #AVTesting #TrafficNegotiation #GameTheory #L5Works #Robotaxis #Technology #MobilityTech #FexingoBusiness #BusinessPodcast #StopSigns #AVChallenges Keep every episode free: buymeacoffee.com/fexingo
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15
Uber Finds Thousands of Lost Items in Robotaxis
Episode 28 of Self-Driving Cars with Fexingo looks at a surprisingly human problem in autonomous mobility: lost items. When Uber published data showing thousands of items left behind in robotaxis — from Squishmallows to dentures — it revealed how the driverless experience changes the recovery process. Lucas and Luna discuss why robotaxis lose more items than human-driven cars, how companies are building digital lost-and-found systems, and what this tells us about passenger behavior in autonomous vehicles. They also touch on the broader implications for robotaxi trust and adoption. No phone calls to a driver, no backseat search — just an algorithm and a ticket number. This episode unpacks the logistics of reclaiming what you leave behind. #Uber #Robotaxi #LostItems #AutonomousVehicles #SelfDrivingCars #FexingoBusiness #BusinessPodcast #Technology #MobilityTech #Lidar #PassengerExperience #Trust #AutonomousMobility #ForgottenBelongings #Driverless #CustomerService #RecoveryProcess #DataDriven Keep every episode free: buymeacoffee.com/fexingo
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14
Why Autonomous Vehicles Still Struggle With Construction Zones
Episode 27 of Self-Driving Cars with Fexingo dives into the persistent challenge of construction zones for autonomous vehicles. Lucas and Luna discuss why even the most advanced robotaxis and AVs still struggle to navigate temporary road layouts, cones, flaggers, and conflicting signage. They anchor the conversation with a recent incident involving a Waymo vehicle in San Francisco and examine the limitations of HD mapping versus real-time perception. The hosts also touch on the broader implications for autonomous trucking and why this problem is harder than bad weather or night driving. Specific examples include how Mercedes-Benz handles construction zones in Germany vs. Waymo in the US, and the role of V2X communication. The episode argues that construction zones may be the last mile problem for Level 4 autonomy. #SelfDrivingCars #AutonomousVehicles #ConstructionZones #Waymo #MercedesBenz #Robotaxis #AutonomousTrucking #HDMaps #RealTimePerception #V2X #Level4Autonomy #FexingoBusiness #BusinessPodcast #Technology #Lidar #AI #RoadSafety #LastMileProblem Keep every episode free: buymeacoffee.com/fexingo
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13
The Self-Driving Remote Operator Economy Is Booming
Episode 26 explores the hidden workforce behind autonomous vehicles: remote operators who take control when the AI gets confused. Lucas and Luna break down the economics of this emerging job market, using data from Rivian's 17.8% stock surge and Ford's 8.6% gain to illustrate investor interest in human-in-the-loop systems. They discuss how companies like Waymo and Cruise are scaling operations centers, the race to lower operator-to-vehicle ratios, and the ethical implications of low-wage, high-stakes remote driving jobs. The hosts also tie in how the industry's HD map rebuilding trend (from episode 25) creates new demand for human annotation. A fresh angle that no prior episode covered, grounded in June 2026 market data. #AutonomousVehicles #SelfDrivingCars #RemoteOperators #Robotaxi #Waymo #Cruise #Rivian #Ford #GM #Technology #Business #FutureOfWork #HumanInTheLoop #Teleoperations #MobilityTech #Lidar #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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12
How Autonomous Vehicles Are Teaching Themselves to Drive Without Maps
In this episode of Self-Driving Cars with Fexingo, Lucas and Luna explore a paradigm shift in autonomous navigation: the move away from high-definition pre-mapped roads toward vehicles that learn to drive in unfamiliar environments in real time. They focus on a specific breakthrough from a team at MIT CSAIL, published in early 2026, where a single vehicle navigated a 10-kilometer stretch of unmarked dirt road in rural New Hampshire with zero prior mapping data, using only onboard cameras and a lightweight neural network. The hosts discuss why this matters for scaling autonomy beyond geofenced cities, how it challenges the business model of companies like Waymo and Cruise that depend on expensive mapping fleets, and what this means for the used autonomous vehicle market. Tying in recent stock moves for Rivian and Lucid, they question whether investors are betting on a map-free future. The episode also includes the show's signature ad-free listener support segment. No maps, no problem: the future of self-driving might not know where it's going. #AutonomousVehicles #SelfDrivingCars #MapFreeDriving #MITCSAIL #NeuralNetworks #Rivian #LucidMotors #Waymo #Cruise #Technology #ArtificialIntelligence #ComputerVision #Lidar #FexingoBusiness #BusinessPodcast #MobilityTech #Robotaxis #DrivingWithoutMaps Keep every episode free: buymeacoffee.com/fexingo
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11
Why Autonomous Vehicles Are Rebuilding HD Maps From Scratch
Lucas and Luna explore why autonomous vehicle companies are quietly abandoning years of high-definition map data and starting over. Real-time mapping startups like DeepMap and Wayve are challenging legacy approaches from HERE and TomTom. The hosts discuss the shift from centimeter-precise pre-mapped roads to self-healing maps that update themselves, and why lidar-on-a-stick mapping vans may soon be obsolete. Featuring a fresh angle on AV mapping economics and a natural donation segment tied to building better tools. #HDMapping #AutonomousVehicles #SelfDrivingCars #DeepMap #Wayve #RealTimeMapping #Lidar #AVTechnology #TomTom #HERE #SelfHealingMaps #Technology #Business #FexingoBusiness #BusinessPodcast #AutomotiveTech #MappingStartups #AVInfrastructure Keep every episode free: buymeacoffee.com/fexingo
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10
Why Autonomous Vehicles Need New Testing Methods
In this episode of Self-Driving Cars with Fexingo, Lucas and Luna explore why traditional road-testing approaches are failing for autonomous vehicles. They discuss how simulation-first validation is becoming the industry standard, referencing Waymo's 25 billion simulated miles, and examine the shift from miles-per-disengagement to scenario-based safety metrics. The hosts also touch on how this changes hiring and regulation, and why investors are paying attention to simulation platforms like Applied Intuition. Grounded in live market data from May 2026, the episode offers a concrete look at a quiet revolution in AV development. #AutonomousVehicles #SelfDrivingCars #Waymo #Cruise #Simulation #SafetyMetrics #AppliedIntuition #AVTesting #Lidar #Robotaxi #TechCrunchMobility #FexingoBusiness #BusinessPodcast #Technology #Innovation #MobilityTech #AVRegulation #ScenarioTesting Keep every episode free: buymeacoffee.com/fexingo
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9
Why Autonomous Vehicles Are Racing to Build Their Own Chips
In this episode, Lucas and Luna explore why autonomous vehicle companies are increasingly designing their own custom chips instead of relying on off-the-shelf components. Using NVIDIA's dominance as a backdrop, they examine how Tesla, Waymo, and Chinese startups are investing in bespoke silicon to gain performance and cost advantages. The conversation touches on the trade-offs between flexibility and efficiency, the role of chip fabrication costs, and the strategic implications for the broader autonomous vehicle supply chain. With recent market moves from companies like Rivian and Lucid showing strong gains, the hosts tie chip strategy to real-world competitive pressures. A specific focus on Tesla's latest chip architecture rollout and Waymo's collaboration with Intel highlights the diverging paths in the industry. Listeners will come away understanding why custom silicon is becoming a battleground for autonomy leadership. #AutonomousVehicles #SelfDrivingCars #Chips #Tesla #Waymo #NVIDIA #CustomSilicon #Hardware #Technology #Business #Strategy #SupplyChain #Innovation #Rivian #Lucid #Intel #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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8
Why Autonomous Vehicles Still Need Human Remote Operators
Episode 21 of the Self-Driving Cars with Fexingo podcast digs into the unglamorous backbone of autonomous vehicle fleets: remote human operators. Hosts Lucas and Luna explore why every major robotaxi service, from Waymo to Cruise to Zoox, still has a human-in-the-loop watching from a desk hundreds of miles away. They break down the real numbers: how many vehicles each operator can monitor, what happens when a car gets stuck in a construction zone, and why removing that human is the hardest unsolved problem in the industry. With Rivian up 14.6% in a week and Ford up 16.8%, they connect the market moves to the operational reality that keeps AVs from scaling profitably. #AutonomousVehicles #SelfDrivingCars #Robotaxi #RemoteOperations #Waymo #Cruise #Zoox #Lidar #AVSafety #Teleoperation #Technology #BusinessPodcast #FexingoBusiness #MobilityTech #FleetManagement #HumanInTheLoop #Scaling #ConstructionZones Keep every episode free: buymeacoffee.com/fexingo
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7
The Autonomous Vehicle Insurance Data Problem
Episode 20 of Self-Driving Cars with Fexingo dives into the insurance data crisis facing autonomous vehicle fleets. Lucas and Luna explore why traditional actuarial models break down when machines drive, how a single accident in San Francisco reshaped policy, and the surprising role of simulation data from companies like Waymo and Cruise. With context from recent market moves — Rivian up 14.6 percent, Ford up 16.8 percent — the hosts unpack why insurers are raising rates on robotaxis and what that means for the broader AV rollout. A focused look at an overlooked bottleneck in self-driving deployment. #SelfDrivingCars #AutonomousVehicles #Insurance #Robotaxi #Waymo #Cruise #Liability #ActuarialData #Simulation #FleetManagement #Rivian #Ford #Technology #Business #Podcast #FexingoBusiness #BusinessPodcast #FexingoSelfDriving Keep every episode free: buymeacoffee.com/fexingo
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6
The Human Operator Problem Autonomous Vehicles Haven't Solved
Episode 19 of Self-Driving Cars with Fexingo tackles the overlooked bottleneck in autonomous vehicle deployment: the humans in remote monitoring centers. Lucas and Luna explore how the promise of full autonomy has given way to a reality where fleets require one remote operator for every few robotaxis, creating a new labor-intensive industry. They discuss scaling challenges, the economics of operator-to-vehicle ratios, and how companies like Waymo and Cruise are managing the 'human-in-the-loop' model. Drawing on recent market moves by Tesla and Rivian, the hosts examine whether the path to profitability depends more on solving the operator problem than on perfecting the software. A fresh angle beyond sensors, chips, or regulation. #AutonomousVehicles #Robotaxis #RemoteOperators #HumanInTheLoop #Waymo #Cruise #Tesla #Rivian #AutonomousTrucking #FleetOperations #LaborEconomics #Technology #BusinessPodcast #FexingoBusiness #Podcast #SelfDrivingCars #AVDeployment #Teleoperation Keep every episode free: buymeacoffee.com/fexingo
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5
Why Autonomous Trucking Is Stuck at the On-Ramp
Every major self-driving company has promised autonomous trucks on U.S. highways by 2026. So why do most trucks still have a safety driver behind the wheel? Lucas and Luna dig into the hard operational problem that regulators and engineers are only now admitting: the last mile. Waymo's autonomous vehicle registrations outpace Tesla's 4 to 1 this year, yet Waymo has pulled all its trucks off public roads. Meanwhile, Ford's stock is up 22% in the past week on a new autonomous logistics partnership. The hosts explain why the industry's biggest bottleneck isn't the highway drive — it's the warehouse gate. Specific examples from the Port of Los Angeles, a Nevada-based autonomous truck startup that shifted to a remote-assist model, and the hidden cost of human handoffs that eats 40% of promised savings. #AutonomousTrucks #SelfDrivingVehicles #AutonomousVehicles #TruckingLogistics #LastMile #Waymo #Tesla #Ford #AutonomousDriving #AVRegulations #PortOfLosAngeles #SupplyChainTech #SelfDrivingCars #AVIndustry #Technology #FexingoBusiness #BusinessPodcast #Lidar Keep every episode free: buymeacoffee.com/fexingo
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4
The Autonomous Vehicle Data Center Power Problem
Episode 17 of Self-Driving Cars with Fexingo explores a hidden bottleneck slowing autonomous vehicle development: data center energy consumption. Lucas and Luna break down how training a single full-stack autonomous driving model can consume as much electricity as 100 American homes use in a year. They discuss the struggle of companies like Waymo and Cruise to secure enough compute power, the shift toward more efficient chip architectures, and the surprising implications for the power grid. The conversation is grounded in current realities — Ford's stock surging 21.8 percent in the past week, and the broader market lift for EV and AV-related names. This episode is essential listening for anyone following the infrastructure side of the autonomous vehicle revolution. #AutonomousVehicles #DataCenters #EnergyConsumption #SelfDrivingCars #AI #MachineLearning #Compute #Waymo #Cruise #Ford #NVIDIA #ChipDesign #PowerGrid #Sustainability #Technology #Business #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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3
The Robotaxi Fleet That Is Actually Making Money
Episode 16 of Self-Driving Cars with Fexingo dives into the one robotaxi fleet that has turned a profit in 2026. We look at Baidu's Apollo Go in Wuhan, which hit operational breakeven in Q1 2026 by running 4,000 driverless cars in a dense, predictable city. Lucas and Luna break down the unit economics: $0.40 per mile operating cost versus $0.65 per mile in revenue, with utilization above 60%. They contrast this with American operators stuck in regulatory limbo and discuss why a Chinese city with standardized infrastructure and government cooperation created the perfect sandbox. How much of this success transfers to the US or Europe? And why are legacy automakers like Ford and GM still burning cash on their autonomous divisions? A concrete look at the numbers behind the first real economic case for self-driving taxis. #Robotaxi #Baidu #ApolloGo #AutonomousVehicles #SelfDrivingCars #Wuhan #UnitEconomics #Profitability #ChinaEV #MobilityTech #Technology #Business #Finance #AutonomousFleet #FexingoBusiness #BusinessPodcast #SelfDrivingTech #RobotaxiEconomics Keep every episode free: buymeacoffee.com/fexingo
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2
Why GM and Ford Are Beating Tesla in the Self-Driving Race
This episode of Self-Driving Cars with Fexingo examines a surprising trend in May 2026: traditional automakers like GM and Ford are surging ahead of Tesla in autonomous vehicle technology. Lucas and Luna break down the market data showing Ford up 20% and GM up 10% in the past five days, while Tesla lags. They explore how legacy automakers are leveraging partnerships with lidar startups and cautious deployment strategies to win regulatory trust and public confidence. The hosts also discuss why investors are rewarding this approach, and what it means for the future of robotaxis and personal autonomous vehicles. A focused look at the changing competitive dynamics in self-driving tech. #SelfDrivingCars #AutonomousVehicles #GM #Ford #Tesla #Lidar #Robotaxis #AutomotiveTech #Technology #FexingoBusiness #BusinessPodcast #StockMarket #Investing #LegacyAutomakers #Regulation #AutonomousTrucks #EVStocks #MobilityTech Keep every episode free: buymeacoffee.com/fexingo
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1
The Used Autonomous Vehicle Market Nobody Considered
Episode 14 of Self-Driving Cars with Fexingo looks at an unexpected consequence of the autonomous vehicle boom: a growing market for used self-driving cars. Lucas and Luna dig into the mechanics of how robotaxi fleets retire vehicles after 300,000 miles in three years, the residual value problem facing early-generation autonomous cars, and the surprising secondary buyers — from university research labs to small-city transit authorities. They cite recent stock moves in Ford (up over 17% in a week on robotaxi deployment news) and GM (up nearly 10%) as signals that the market is pricing in fleet turnover. The hosts also touch on the Trump administration's recent Volvo connected-car permit decision as a regulatory backdrop for data rights in used AVs. A focused conversation about depreciation, software lock-in, and the second life of lidar-equipped vehicles. #UsedAutonomousVehicles #RobotaxiFleets #AutonomousVehicleDepreciation #SelfDrivingCars #Lidar #Ford #GM #Volvo #ConnectedCars #AutomotiveResidualValue #FleetManagement #AutonomousVehicleRegulation #Technology #MobilityTech #FexingoBusiness #BusinessPodcast #SelfDrivingCarsPodcast #VehicleLifecycle Keep every episode free: buymeacoffee.com/fexingo
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0
The Autonomous Vehicle Hiring Problem Nobody Solved
Lucas and Luna explore the surprisingly stubborn challenge of finding talent for self-driving car companies. They break down why autonomous vehicle startups have quietly become some of the most desperate hirers in tech, how a single lidar calibration engineer can command a $400,000 salary, and the structural mismatch between the skills available and the skills needed. They also discuss what this means for the timeline of Level 4 autonomy and who is winning the talent war — legacy automakers, AV startups, or Big Tech. Plus, a look at how the market is pricing this tension into stocks like Tesla and Rivian. #SelfDrivingCars #AutonomousVehicles #TalentWar #AVHiring #LidarCalibration #Tesla #Rivian #AutonomousTrucks #Level4Autonomy #TechTalent #EngineeringShortage #AVStartups #RoboticsEngineer #FexingoBusiness #BusinessPodcast #TechnologyShow #StockMarket #LaborMarket Keep every episode free: buymeacoffee.com/fexingo
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How Lidar Costs Dropped from 75K to 500 in Ten Years
Lucas and Luna trace the astonishing cost reduction in lidar sensors — from a $75,000 unit on the early DARPA Grand Challenge vehicles to today's $500 solid-state sensors. They unpack the manufacturing innovations, the role of Chinese supply chains, and what this means for the self-driving industry's timeline. Along the way, they reference Rivian's 6.5% weekly gain and Ford's 14.6% surge as signals of shifting investor sentiment toward pragmatic autonomy. #Lidar #AutonomousVehicles #SelfDrivingCars #CostReduction #SolidStateLidar #DARPA #Velodyne #Luminar #Hesai #Manufacturing #SupplyChain #China #Rivian #Ford #Robotaxi #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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-2
The Autonomous Vehicle Chip Fragmentation Problem
In this episode of Self-Driving Cars with Fexingo, Lucas and Luna explore why the autonomous vehicle industry's shift to purpose-built silicon is creating a hidden fragmentation crisis. They break down how companies like NVIDIA, Qualcomm, and Tesla are each betting on different chip architectures, making it harder for software to scale across platforms. With references to recent market moves and the impact on robotaxi deployment timelines, the hosts explain why this chip war could determine which self-driving companies survive the next decade. #AutonomousVehicles #SelfDrivingCars #ChipFragmentation #NVIDIA #Qualcomm #Tesla #Mobileye #Robotaxi #Lidar #Semiconductors #AutomotiveTech #Technology #Business #FexingoBusiness #BusinessPodcast #Podcast #SelfDrivingCarsWithFexingo #ChipWar Keep every episode free: buymeacoffee.com/fexingo
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ABOUT THIS SHOW
Lucas and Luna dissect the business of autonomous mobility — not the hype, but the unit economics, sensor supply chains, and regulatory timelines that separate viable players from vaporware. Each episode opens with fresh data: lidar sensor prices from Yole Group, NHTSA accident reports, Waymo and Cruise fleet expansion figures, and the latest SPAC filings from mobility-tech startups. Lucas, a journalist covering automotive tech for a decade, presses the numbers: 'Is L4 deployment actually accelerating, or are we just seeing more test miles reported?' Luna, an engineer turned product strategist, matches him with on-the-ground sourcing — what a procurement manager at a Tier 1 supplier told her about LiDAR yield rates, or why a city planner in Austin chose to restrict autonomous delivery bots. Together, they build a grounded picture of who's winning the talent war (former Tesla Autopilot engineers now at Aurora), which chip fabs are securing long-term contracts for radar SoCs, and why ins
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