CIRAN: extracting crowd interaction with residual attention network for pedestrian trajectory prediction

Shang Liu; Xiaoyu Chen; Hao Chen

doi:10.1007/s13042-022-01548-0

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CIRAN: extracting crowd interaction with residual attention network for pedestrian trajectory prediction

Shang Liu Xiaoyu Chen Hao Chen

Year: 2022 Journal: International Journal of Machine Learning and Cybernetics Vol: 13 (9)Pages: 2649-2662 Publisher: Springer Science+Business Media

DOI: 10.1007/s13042-022-01548-0

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Keywords:

Computational intelligence Trajectory Residual Pedestrian Computer science Artificial intelligence Algorithm Engineering Physics Transport engineering

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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

CIRAN: extracting crowd interaction with residual attention network for pedestrian trajectory prediction

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