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Works (7)

Enhancing the Collaborative Decision-Making Performance of Connected and Autonomous Vehicles: A Multi-Modal Failure-Aware Graph Representation Approach

IEEE Transactions on Intelligent Transportation Systems
2025 | Journal article
DOI: 10.1109/TITS.2025.3534836
Contributors: Qi Liu; Yujie Tang; Xueyuan Li; Guodong Du; Zirui Li
Source: check_circle
Crossref

MV-STGHAT: Multi-View Spatial-Temporal Graph Hybrid Attention Network for Decision-Making of Connected and Autonomous Vehicles

IEEE Transactions on Vehicular Technology
2025 | Journal article
DOI: 10.1109/TVT.2024.3515992
Contributors: Qi Liu; Yujie Tang; Xueyuan Li; Fan Yang; Kaifeng Wang; Zirui Li
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Crossref

Ethical Alignment Decision Making for Connected Autonomous Vehicle in Traffic Dilemmas via Reinforcement Learning From Human Feedback

IEEE Internet of Things Journal
2024-12-01 | Journal article
DOI: 10.1109/JIOT.2024.3447070
Contributors: Xin Gao; Tian Luan; Xueyuan Li; Qi Liu; Zhaoyang Ma; Xiaoqiang Meng; Zirui Li
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Crossref

Rate GQN: A Deviations-Reduced Decision-Making Strategy for Connected and Automated Vehicles in Mixed Autonomy

IEEE Transactions on Intelligent Transportation Systems
2024-01 | Journal article
DOI: 10.1109/TITS.2023.3312951
Contributors: Xin Gao; Xueyuan Li; Qi Liu; Zhaoyang Ma; Tian Luan; Fan Yang; Zirui Li
Source: check_circle
Crossref

Hierarchical Motion Planning and Tracking for Autonomous Vehicles Using Global Heuristic Based Potential Field and Reinforcement Learning Based Predictive Control

IEEE Transactions on Intelligent Transportation Systems
2023 | Journal article
DOI: 10.1109/TITS.2023.3266195
Contributors: Guodong Du; Yuan Zou; Xudong Zhang; Zirui Li; Qi Liu
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Crossref

Graph Reinforcement Learning-Based Decision-Making Technology for Connected and Autonomous Vehicles: Framework, Review, and Future Trends

Sensors
2023-10-03 | Journal article
DOI: 10.3390/s23198229
Contributors: Qi Liu; Xueyuan Li; Yujie Tang; Xin Gao; Fan Yang; Zirui Li
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Crossref

Occlusion Handling and Multi-Scale Pedestrian Detection Based on Deep Learning: A Review

IEEE Access
2022 | Journal article
DOI: 10.1109/ACCESS.2022.3150988
Contributors: Fang Li; Xueyuan Li; Qi Liu; Zirui Li
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Crossref
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