Efficient multi-target vehicle trajectory prediction based on multi-scale graph convolution

Xiang Gu; Jing Wang; D.T.Y. Cheng; Chao Li; Qiwei Huang

doi:10.1007/s10044-024-01396-4

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Efficient multi-target vehicle trajectory prediction based on multi-scale graph convolution

Xiang Gu Jing Wang D.T.Y. Cheng Chao Li Qiwei Huang

Year: 2024 Journal: Pattern Analysis and Applications Vol: 28 (1) Publisher: Springer Science+Business Media

DOI: 10.1007/s10044-024-01396-4

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Keywords:

Convolution (computer science) Computer science Trajectory Scale (ratio) Graph Artificial intelligence Pattern recognition (psychology) Algorithm Biological system Theoretical computer science Artificial neural network Physics

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Autonomous Vehicle Technology and Safety

Physical Sciences → Engineering → Automotive Engineering

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Efficient multi-target vehicle trajectory prediction based on multi-scale graph convolution

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