Pedestrian Intention Prediction for Autonomous Driving Using a Multiple Stakeholder Perspective Model-Reference-Cited by-同舟云学术

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Pedestrian Intention Prediction for Autonomous Driving Using a Multiple Stakeholder Perspective Model

Published:2020-10-24 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
language:
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Author:

Kim Kyungdo¹,Lee Yoon Kyung²,Ahn Hyemin¹,Hahn Sowon²,Oh Songhwai¹

Affiliation:

1. Seoul National University,Robot Learning Laboratory,Department of Electrical and Computer Engineering and ASRI

2. Seoul National University,Human Factors Psychology Laboratory,Department of Psychology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9340668/9340635/09341083.pdf?arnumber=9341083

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Behavioral Intention Prediction in Driving Scenes: A Survey;IEEE Transactions on Intelligent Transportation Systems;2024-08

2. PVII: A pedestrian-vehicle interactive and iterative prediction framework for pedestrian’s trajectory;Applied Intelligence;2024-07-29

3. Pedestrian Trajectory Prediction in Pedestrian-Vehicle Mixed Environments: A Systematic Review;IEEE Transactions on Intelligent Transportation Systems;2023-11

4. Pedestrian Behavior Prediction Using Deep Learning Methods for Urban Scenarios: A Review;IEEE Transactions on Intelligent Transportation Systems;2023-10

5. Holistic Spatio-Temporal Graph Attention for Trajectory Prediction in Vehicle–Pedestrian Interactions;Sensors;2023-08-23

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