Why Autonomous Vehicles Can't Handle Potholes

What this episode covers

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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Frequently Asked Questions

How long is this episode of Self-Driving Cars with Fexingo: Autonomous Vehicles, Lidar, and Mobility Tech?

This episode is 8 minutes long.

When was this Self-Driving Cars with Fexingo: Autonomous Vehicles, Lidar, and Mobility Tech episode published?

This episode was published on June 12, 2026.

What is this episode about?

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...

Can I download this Self-Driving Cars with Fexingo: Autonomous Vehicles, Lidar, and Mobility Tech episode?

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