sida zhang

LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion

In this paper, we present LiRaNet, a novel end-to-end trajectory prediction method which utilizes radar sensor information along with widely used lidar and HD maps. Automotive radar provides rich, complementary information, allowing for longer range vehicle detection as well as instantaneous radial