Hybrid imitation learning and differentiable optimization framework for trajectory planning in autonomous driving
This work proposes a hybrid trajectory planning framework that integrates IL-based multimodal trajectory proposal with differentiable optimization, and introduces a surrounding agent centric data augmentation strategy that reuses real-world trajectories of surrounding vehicles as additional expert demonstrations, there...