CVPR 2023 – Planning-oriented Autonomous Driving

In this episode we discuss Planning-oriented Autonomous Driving
by Yihan Hu, Jiazhi Yang, Li Chen, Keyu Li, Chonghao Sima, Xizhou Zhu, Siqi Chai, Senyao Du, Tianwei Lin, Wenhai Wang, Lewei Lu, Xiaosong Jia, Qiang Liu, Jifeng Dai, Yu Qiao, Hongyang Li. The paper proposes a new framework for autonomous driving systems called Unified Autonomous Driving (UniAD), which incorporates all driving tasks into one network. The framework prioritizes tasks that contribute to planning, and tasks are communicated with unified interfaces to facilitate coordination. The authors demonstrate the effectiveness of UniAD on the nuScenes benchmark, outperforming previous state-of-the-art methods. The code and models for UniAD are publicly available.