Why Autonomous Vehicles Keep Getting Stuck on Train Tracks in 2026

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Why Autonomous Vehicles Keep Getting Stuck on Train Tracks in 2026

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In this episode, Lucas and Luna tackle a persistent and dangerous edge case for self-driving cars: railroad crossings. With Tesla, Waymo, and others pushing Full Self-Driving and robotaxi services, incidents of AVs stopping on or hesitating at active tracks have surged. Using recent data from the FRA and a specific Waymo incident in San Francisco, they explore why train crossings combine all the worst elements for AV sensors—unusual geometry, variable lighting, metallic interference, and the high stakes of failure. They discuss lidar limitations, the difficulty of predicting train speeds, and why human-like crossing judgment remains elusive. Plus, a look at how automakers like Ford are bringing back veteran engineers to tackle these physical-world challenges that AI alone can't solve. A focused, technical conversation for anyone following the real-world barriers to autonomous mobility. #SelfDrivingCars #AutonomousVehicles #TrainCrossings #Waymo #TeslaFSD #FordGrayBeards #Lidar #AVSafety #FRA #EdgeCases #Robotaxi #Technology #AutonomousMobility #AI #FexingoBusiness #BusinessPodcast #LucasAndLuna #MobilityTech Keep every episode free: buymeacoffee.com/fexingo

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