Why Autonomous Vehicles Are Failing at Unprotected Left Turns episode artwork

EPISODE · Jun 4, 2026 · 8 MIN

Why Autonomous Vehicles Are Failing at Unprotected Left Turns

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

Unprotected left turns remain one of the hardest unsolved problems for self-driving cars. In this episode, Lucas and Luna unpack why a single human maneuver that takes two seconds is still stumping autonomous systems with billions of miles of training data. They walk through the sensor fusion challenge: how lidar, radar, and cameras disagree on the speed of an oncoming car at a 30-degree angle. They discuss why Waymo's Geofenced Phoenix service still struggles at certain left-turn-heavy intersections, and how Tesla's vision-only approach handles the same scenario differently. The conversation also touches on the human factor: how remote operators get called in disproportionately for left-turn decisions, and what that tells us about the limits of current AI. No abstract theory here — just the specific edge case that keeps autonomy engineers up at night. #AutonomousVehicles #SelfDrivingCars #UnprotectedLeftTurn #Waymo #Tesla #Lidar #SensorFusion #EdgeCase #Robotaxi #AI #AutonomousDriving #MobilityTech #Technology #FexingoBusiness #BusinessPodcast #Fexingo #LucasAndLuna #AutonomousVehicleSafety Keep every episode free: buymeacoffee.com/fexingo

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Why Autonomous Vehicles Are Failing at Unprotected Left Turns

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This episode was published on June 4, 2026.

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