Context-aware multi-task learning for pedestrian intent and trajectory prediction

Farzeen Munir; Tomasz Piotr Kucner

doi:10.1016/j.trc.2025.105203

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JOURNAL ARTICLE

Context-aware multi-task learning for pedestrian intent and trajectory prediction

Farzeen Munir Tomasz Piotr Kucner

Year: 2025 Journal: Transportation Research Part C Emerging Technologies Vol: 178 Pages: 105203-105203 Publisher: Elsevier BV

DOI: 10.1016/j.trc.2025.105203

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Abstract

Keywords:

Pedestrian Trajectory Context (archaeology) Task (project management) Computer science Artificial intelligence Human–computer interaction Machine learning Transport engineering Simulation Engineering Systems engineering Geography

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0.75

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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

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Context-aware multi-task learning for pedestrian intent and trajectory prediction

Abstract

Metrics

Citation History

Topics

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