Work

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

Year: 2022

Type: conference-paper

Source: Lecture notes in computer science

Parent work: Computer Vision – ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XXXVIII

DOI: 10.1007/978-3-031-19839-7_31

Authors: Shengchao Hu, Li Chen, Penghao Wu, Hongyang Li, Junchi Yan, Dacheng Tao

Institutions: Shanghai Jiao Tong University, Shanghai Artificial Intelligence Laboratory, University of California San Diego, Jingdong (China)

Language: English

Topic: Autonomous Vehicle Technology and Safety

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: G1686650909, G2049712590, G3359817731, G8721642152

OpenAlex ID: W4312396550

FWCI: 49.64

Cites: 45

Cited by: 320

Related to: 10