3 accepted papers
Recent advances in end-to-end autonomous driving (E2E AD) often rely on direct expert trajectory imitation to train planners. While promising, these methods are susceptible to biases and compounding errors, which can compromise safety and road compliance. Inverse Optimal Control (IOC) has the potent
Vision-based 3D occupancy prediction has made significant advancements, but its reliance on cameras alone struggles in challenging environments. This limitation has driven the adoption of sensor fusion, among which camera-radar fusion stands out as a promising solution due to their complementary str
Collision Avoidance/Mitigation System (CAMS) for autonomous vehicles is a crucial technology that ensures the safety and reliability of autonomous driving systems. Conventional collision avoidance approaches struggle in complex and various scenarios by avoiding collisions based on rules for specific…