2023
Vehicle Motion Forecasting Using Prior Information and Semantic-Assisted Occupancy Grid Maps
IROS 2023poster
Motion prediction is a challenging task for autonomous vehicles due to uncertainty in the sensor data, the non-deterministic nature of future, and complex behavior of agents. In this paper, we tackle this problem by representing the scene as dynamic occupancy grid maps (DOGMs), associating semantic…