Developed computer vision algorithms for autonomous vehicles, improving object detection and navigation in complex environments.
Advanced computer vision algorithms that power the perception system of autonomous vehicles, enabling safe navigation in complex environments. Key Features: - Real-time object detection and classification - 360-degree environmental awareness - Lane detection and tracking - Pedestrian and vehicle trajectory prediction - Weather and lighting adaptation - Sensor fusion (camera, LiDAR, radar) - Safety-critical performance validation The system has been tested in millions of miles of autonomous driving, significantly improving object detection accuracy and navigation safety in challenging conditions.