AV Perception Model Training Data

Autonomous vehicle perception operates on two timescales simultaneously. On one timescale, real-time perception models process sensor data at 10–30 Hz to detect and track dynamic objects in the environment, other vehicles, pedestrians, cyclists, obstacles. On another timescale, a static map provides the structural context that real-time perception depends on  where roads are, how lanes are […]