Why Autonomous Vehicles Still Can't Handle Gravel Roads

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Why Autonomous Vehicles Still Can't Handle Gravel Roads

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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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