CWGCN: Cascaded Wavelet Graph Convolution Network for pedestrian trajectory prediction

Wangxing Chen; Haifeng Sang; Zishan Zhao

doi:10.1016/j.compeleceng.2025.110609

ScienceGate Book Chapters

JOURNAL ARTICLE

CWGCN: Cascaded Wavelet Graph Convolution Network for pedestrian trajectory prediction

Wangxing Chen Haifeng Sang Zishan Zhao

Year: 2025 Journal: Computers & Electrical Engineering Vol: 127 Pages: 110609-110609 Publisher: Elsevier BV

DOI: 10.1016/j.compeleceng.2025.110609

Get Full-Text PDF Get Analytical Report

Keywords:

Wavelet Pedestrian Artificial intelligence Computer science Convolution (computer science) Graph Trajectory Pattern recognition (psychology) Mathematics Algorithm Computer vision Theoretical computer science Engineering Artificial neural network Transport engineering Physics

Metrics

Cited By

4.35

FWCI (Field Weighted Citation Impact)

Refs

0.86

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Autonomous Vehicle Technology and Safety

Physical Sciences → Engineering → Automotive Engineering

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Traffic and Road Safety

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

CWGCN: Cascaded Wavelet Graph Convolution Network for pedestrian trajectory prediction

Metrics

Citation History

Topics

Related Documents

WTGCN: wavelet transform graph convolution network for pedestrian trajectory prediction

SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction

Graph Partition Convolution Neural Network for Pedestrian Trajectory Prediction

IMGCN: interpretable masked graph convolution network for pedestrian trajectory prediction

IGGCN: Individual-guided graph convolution network for pedestrian trajectory prediction