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Scenario Engineering for Autonomous Transportation: A New Stage in Open-Pit Mines 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 3, 页码: 4394-4404
作者:  Teng, Siyu;  Li, Xuan;  Li, Yuchen;  Li, Lingxi;  Zhe, Xuanyuan;  Ai, Yunfeng;  Chen, Long
收藏  |  浏览/下载：2/0  |  提交时间：2024/07/03
Transportation  Feature extraction  Robustness  Machinery  Minerals  Pipelines  Artificial intelligence  Autonomous transportation  intelligent transportation system  parallel mining  parallel system theory  
Advanced Scenario Generation for Calibration and Verification of Autonomous Vehicles 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 5, 页码: 3211-3216
作者:  Li, Xuan;  Teng, Siyu;  Liu, Bingzi;  Dai, Xingyuan;  Na, Xiaoxiang;  Wang, Fei-Yue
收藏  |  浏览/下载：116/0  |  提交时间：2023/11/17
Testing  Safety  Autonomous vehicles  Roads  ISO Standards  Calibration  Standards  Scenarios engineering  autonomous vehicles  parallel intelligence  simulation scenarios  real-road testing  
Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 2, 页码: 1046-1056
作者:  Chen, Long;  Li, Yuchen;  Huang, Chao;  Li, Bai;  Xing, Yang;  Tian, Daxin;  Li, Li;  Hu, Zhongxu;  Na, Xiaoxiang;  Li, Zixuan;  Teng, Siyu;  Lv, Chen;  Wang, Jinjun;  Cao, Dongpu;  Zheng, Nanning;  Wang, Fei-Yue
收藏  |  浏览/下载：172/0  |  提交时间：2023/11/17
Autonomous vehicles  Planning  Vehicle dynamics  Heuristic algorithms  Object detection  Location awareness  Task analysis  Survey of surveys  milestones  autonomous driving  intelligent vehicles  
Hierarchical Interpretable Imitation Learning for End-to-End Autonomous Driving 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 1, 页码: 673-683
作者:  Teng, Siyu;  Chen, Long;  Ai, Yunfeng;  Zhou, Yuanye;  Xuanyuan, Zhe;  Hu, Xuemin
收藏  |  浏览/下载：116/0  |  提交时间：2023/11/16
Semantics  Data models  Autonomous vehicles  Cameras  Reinforcement learning  Predictive models  Robustness  Autonomous driving  imitation learning  motion planning  end-to-End driving  interpretability