PIP-Net: Pedestrian Intention Prediction in the Wild

Mohsen Azarmi; Mahdi Rezaei; He Wang

doi:10.1109/tits.2025.3570794

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JOURNAL ARTICLE

PIP-Net: Pedestrian Intention Prediction in the Wild

Mohsen Azarmi Mahdi Rezaei He Wang

Year: 2025 Journal: IEEE Transactions on Intelligent Transportation Systems Vol: 26 (7)Pages: 9824-9837 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tits.2025.3570794

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Keywords:

Pedestrian Artificial intelligence Transport engineering Computer science Geography Engineering

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Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Autonomous Vehicle Technology and Safety

Physical Sciences → Engineering → Automotive Engineering

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

PIP-Net: Pedestrian Intention Prediction in the Wild

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Citation History

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