Representing Multimodal Behaviors With Mean Location for Pedestrian Trajectory Prediction-Reference-Cited by-同舟云学术

Representing Multimodal Behaviors With Mean Location for Pedestrian Trajectory Prediction

Published:2023-09-01 Issue:9 Volume:45 Page:11184-11202
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Shi Liushuai¹^ORCID,Wang Le¹^ORCID,Long Chengjiang²^ORCID,Zhou Sanping¹^ORCID,Tang Wei³^ORCID,Zheng Nanning¹^ORCID,Hua Gang⁴^ORCID

Affiliation:

1. National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, Shaanxi, China

2. Meta Reality Labs (formerly Facebook Reality Labs), Burlingame, CA, USA

3. Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA

4. Wormpex AI Research, Bellevue, WA, USA

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Natural Science Foundation of Shaanxi Province

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject