ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning

• Published in: Computer Vision - ECCV 2022 Vol. 13698; pp. 533 - 549
• Main Authors: Hu, Shengchao, Chen, Li, Wu, Penghao, Li, Hongyang, Yan, Junchi, Tao, Dacheng
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer 01.01.2022; Springer Nature Switzerland
• Series: Lecture Notes in Computer Science

Many existing autonomous driving paradigms involve a multi-stage discrete pipeline of tasks. To better predict the control signals and enhance user safety, an end-to-end approach that benefits from joint spatial-temporal feature learning is desirable. While there are some pioneering works on LiDAR-b...