Vehicle Trajectory Prediction Based on Graph Attention Network

Zhuolei Chaochen; Qichao Zhang; Li Ding; Haoran Li; Zhong‐Hua Pang

doi:10.1007/978-981-16-9247-5_33

ScienceGate Book Chapters

BOOK-CHAPTER

Vehicle Trajectory Prediction Based on Graph Attention Network

Zhuolei Chaochen Qichao Zhang Li Ding Haoran Li Zhong‐Hua Pang

Year: 2022 Communications in computer and information science Pages: 427-438 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-16-9247-5_33

Get Full-Text PDF Get Analytical Report

Keywords:

Trajectory Computer science Encoder Graph Context (archaeology) Artificial neural network Point (geometry) Artificial intelligence Mathematics Theoretical computer science

Metrics

Cited By

1.94

FWCI (Field Weighted Citation Impact)

Refs

0.82

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Autonomous Vehicle Technology and Safety

Physical Sciences → Engineering → Automotive Engineering

Traffic and Road Safety

Physical Sciences → Engineering → Safety, Risk, Reliability and Quality

Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Vehicle Trajectory Prediction Based on Graph Attention Network

Metrics

Citation History

Topics

Related Documents

LSTM-based graph attention network for vehicle trajectory prediction

Vehicle Trajectory Prediction Based on Spatial-Temporal Graph Attention Convolutional Network

Sparse Attention Graph Convolution Network for Vehicle Trajectory Prediction

Vehicle Trajectory Prediction Using Hierarchical LSTM and Graph Attention Network

Surrounding vehicle trajectory prediction under mixed traffic flow based on graph attention network