In this episode, Lucas and Luna dive into a surprisingly tricky corner of autonomous driving: traffic lights. While most people assume traffic signals are simple for self-driving cars, the reality is far messier. Lucas explains how different municipalities use wildly different hardware and timing patterns — from old-school incandescent bulbs to LED arrays with strobe-like refresh rates. He breaks down the engineering nightmare of visual interference, the challenge of detecting lights at different angles, and how vehicle-to-infrastructure communication might bypass the problem entirely. Luna brings a real-world example from Pittsburgh, where a grid of adaptive traffic signals left a test fleet confused. They also touch on recent market data showing the broader autonomous vehicle sector under pressure — Tesla down 6% in five days, the Global X Autonomous & Electric Vehicles ETF down 7.1% — and ask whether solving infrastructure edge cases like traffic lights could be the key to unlocking investor confidence. A tight, specific tech conversation for anyone who wants to understand what's really holding self-driving cars back. #AutonomousVehicles #SelfDrivingCars #TrafficLights #Lidar #VehicleToInfrastructure #V2I #SmartCities #Pittsburgh #Tesla #AutonomousVehicleETF #Technology #Engineering #EdgeCases #Infrastructure #ComputerVision #FexingoBusiness #BusinessPodcast #SelfDrivingCarsWithFexingo Keep every episode free: buymeacoffee.com/fexingo
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