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Vehicle-Pedestrian Interaction With Human Bounded Rationality",
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from the Perspective of Aging People: An Interpretable Machine
Learning Approach",
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        TITLE = "Causal Confusion in Pedestrian Crossing Intention Prediction for
Autonomous Vehicles: The Role of Ego-Vehicle Speed",
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        VOLUME = "26",
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        PAGES = "12224-12237",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f733pedsa2.html#TT198116"}

@article{bb202751,
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        TITLE = "A Graph-Based Approach to the Topological Optimization of Cycling
Networks for the Improvement of Safety and Comfort of Cyclists",
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        NUMBER = "8",
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        PAGES = "12558-12570",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f733pedsa2.html#TT198117"}

@article{bb202752,
        AUTHOR = "Chen, X.B. and Xu, W. and Zhang, S.L. and Cai, Y.F.",
        TITLE = "Pedestrian Crossing Intention Prediction via Progressive Multimodal
Token Fusion for Autonomous Driving",
        JOURNAL = ITS,
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        YEAR = "2025",
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        PAGES = "12959-12973",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f733pedsa2.html#TT198118"}

@article{bb202753,
        AUTHOR = "Shi, J.Q. and Liu, C.R. and Ishi, C.T. and Ishiguro, H.",
        TITLE = "EffIntentGCN: An Efficient Graph Convolutional Network for
Skeleton-Based Pedestrian Crossing Intention Prediction",
        JOURNAL = ITS,
        VOLUME = "26",
        YEAR = "2025",
        NUMBER = "9",
        MONTH = "September",
        PAGES = "13175-13186",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f733pedsa2.html#TT198119"}

@article{bb202754,
        AUTHOR = "Riaz, M.N. and Wielgosz, M. and Lopez, A.M.",
        TITLE = "Minimizing Human Labeling in Training Deep Models for Pedestrian
Intention Prediction",
        JOURNAL = ITS,
        VOLUME = "26",
        YEAR = "2025",
        NUMBER = "9",
        MONTH = "September",
        PAGES = "13477-13488",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f733pedsa2.html#TT198120"}

@article{bb202755,
        AUTHOR = "Zhu, H. and Xu, H.Z. and Xue, X.S. and Kim, B.G. and Xu, M.M.",
        TITLE = "Temporal Behavior Analysis and Synthesis for Safety-Critical
Transportation Cyber-Physical Systems: A Compositional Approach",
        JOURNAL = ITS,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f733pedsa2.html#TT198121"}

@article{bb202756,
        AUTHOR = "Lee, J. and Kang, Y.",
        TITLE = "PGTFT: A Lightweight Graph-Attention Temporal Fusion Transformer for
Predicting Pedestrian Congestion in Shadow Areas",
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        NUMBER = "10",
        PAGES = "381",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f733pedsa2.html#TT198122"}

@article{bb202757,
        AUTHOR = "Sharma, N. and Dhiman, C. and Indu, S.",
        TITLE = "Cross-Modal Pedestrian Behavior Prediction:
A Dual-Task Approach with Progressive Denoising Attention and CVAE",
        JOURNAL = ITS,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f733pedsa2.html#TT198123"}

@article{bb202758,
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        TITLE = "FCD-Net: Feature Decorrelation and Confidence-Driven Dynamic Fusion
for Robust Pedestrian Recognition in Autonomous Driving",
        JOURNAL = ITS,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f733pedsa2.html#TT198124"}

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        TITLE = "Diffusion Edge Guidance Network and Class Specific NMS for Vulnerable
Target Detection in Surveillance Video of Urban Roadway",
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Pedestrian Interaction",
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        TITLE = "TCP: Text-Guided Cascade Network for Pedestrian Crossing Intention
Prediction",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f733pedsa2.html#TT198127"}

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for Autonomous Driving",
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Mobility Vehicle Interactions With eHMIs: From Psychological States
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@inproceedings{bb202764,
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from Pedestrians? Pilot Datasets and Exploration Towards Instructive
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f733pedsa2.html#TT198130"}

@inproceedings{bb202765,
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@inproceedings{bb202766,
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Improving Vulnerable Road Users Safety",
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@inproceedings{bb202767,
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@inproceedings{bb202772,
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convolutions and U-GRUs for skeletal pedestrian crossing prediction",
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@inproceedings{bb202775,
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@inproceedings{bb202777,
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