Lianhang Liu

PRIX: Learning to Plan From Raw Pixels for End-to-End Autonomous Driving

While end-to-end autonomous driving models show promising results, their practical deployment is often hindered by large model sizes, a reliance on expensive LiDAR sensors and computationally intensive BEV feature representations. This limits their scalability, especially for mass-market vehicles eq