Why Autonomous Vehicles Cant Handle Deer Yet

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Why Autonomous Vehicles Cant Handle Deer Yet

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Episode 76 of Self-Driving Cars with Fexingo tackles a persistent wildlife problem: why autonomous vehicles still can't reliably detect and avoid deer. Lucas and Luna dig into the specific edge cases that trip up sensor fusion and prediction algorithms, from erratic deer movement to low-light conditions near dawn and dusk. They reference recent industry tests showing AVs fail to brake for deer in 30% of scenarios, and discuss why lidar struggles with fur and sudden leaps. The hosts also touch on Tesla's latest vision-only approach versus lidar-heavy competitors like Waymo, and what the data says about real-world collisions. If you've ever wondered why your car's automatic emergency braking works for cars but not for the buck that just ran into the road, this episode explains the gap. #AutonomousVehicles #SelfDrivingCars #DeerCollisions #AnimalDetection #Lidar #Waymo #Tesla #VisionOnly #EdgeCase #SensorFusion #Wildlife #Technology #FexingoBusiness #BusinessPodcast #Podcast #AVSafety #MachineLearning #Perception Keep every episode free: buymeacoffee.com/fexingo

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