Why Autonomous Vehicles Still Can't Handle Stop Signs episode artwork

EPISODE · Jun 6, 2026 · 7 MIN

Why Autonomous Vehicles Still Can't Handle Stop Signs

from Self-Driving Cars with Fexingo: Autonomous Vehicles, Lidar, and Mobility Tech · host Fexingo

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

Episode metadata supplied by the publisher feed · Published Jun 6, 2026

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Why Autonomous Vehicles Still Can't Handle Stop Signs

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