Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights-Reference-Cited by-同舟云学术

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Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights

Published:2024 Issue: Volume:26 Page:7503-7515
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Xie Jiajia¹^ORCID,Zhang Sheng²^ORCID,Xia Beihao³^ORCID,Xiao Zhu¹^ORCID,Jiang Hongbo¹^ORCID,Zhou Siwang¹^ORCID,Qin Zheng¹^ORCID,Chen Hongyang⁴^ORCID

Affiliation:

1. College of Computer Science and Electronic Engineering, Hunan University, Changsha, China

2. School of Computer Science and Technology, Zhejiang University, Hangzhou, China

3. School of Electronic Information and Communication, Huazhong University of Science and Technology, Wuhan, China

4. Zhejiang Lab, Hangzhou, China

Funder

NSFC

National Key R&D Program of China

Key R&D Program of Hunan

Shenzhen Science and Technology Program

CAAI-Huawei MindSpore Open Fund, and in part by the Guangdong Basic and Applied Basic Research Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6046/10384483/10460178.pdf?arnumber=10460178

Reference59 articles.

1. Understanding Private Car Aggregation Effect via Spatio-Temporal Analysis of Trajectory Data

2. A Fusion Framework Based on Sparse Gaussian–Wigner Prediction for Vehicle Localization Using GDOP of GPS Satellites

3. An Empirical Study of Travel Behavior Using Private Car Trajectory Data

4. Vehicle Trajectory Interpolation Based on Ensemble Transfer Regression

5. Trajectory Data Acquisition via Private Car Positioning Based on Tightly-coupled GPS/OBD Integration in Urban Environments

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