How Autonomous Vehicles Handle Extreme Weather

Lucas and Luna explore the biggest unsolved challenge for self-driving cars: navigating snow, fog, and torrential rain. They examine why current sensor suites degrade in low visibility, how lidar manufacturers are pushing to 1550 nanometer wavelengths, and what it means for deployment timelines. With Rivian down 3.5 percent and GM up just 0.5 percent in a tough week, the hosts connect weather resilience to market performance. They cite a 2025 study by the University of Michigan showing autonomous vehicle accident rates spike 40 percent in adverse weather versus clear conditions. The conversation covers real-world testing in Minneapolis and Ann Arbor, and why companies like Waymo and Aurora are investing in self-cleaning sensor housings and thermal management. Plus, a look at how simulation training is helping AVs cope with rare weather events. If you are building or investing in autonomous tech, this is the bottleneck nobody is talking about enough. #AutonomousVehicles #SelfDrivingCars #Lidar #ExtremeWeather #SensorTechnology #Rivian #GM #Waymo #Aurora #UniversityOfMichigan #Minnesota #AnnArbor #1550Nanometer #AutonomousTrucks #WeatherResilience #FexingoBusiness #BusinessPodcast #BusinessAndTechnology Keep every episode free: buymeacoffee.com/fexingo