教师名录
南江峰,博士,2024年6月毕业于北京航空航天大学交通科学与工程学院,师从邓伟文教授,东南大学“至善”博士后,合作导师为殷国栋教授。主要研究方向为自动驾驶的决策与控制、基于深度逆强化学习的自动驾驶类人决策规划方法、具备协同自进化能力的安全增强型自动驾驶方法等。近年来以第一作者/通讯作者身份发表SCI期刊论文6篇(其中5篇为中科院一区或Top期刊),担任IEEE TVT、IEEE ITS等多个国际著名期刊审稿人。
2024.07-至今 东南大学,机械工程学院,“至善”博士后,合作导师:殷国栋
2019.08-2020.05 上汽技术中心,控制集成部,控制器工程师
IEEE TVT、IEEE ITS、IEEE TASE、 IEEE TIV、IEEE Sensors Journal等
1. Nan J, Deng W, Zheng B. Intention prediction and mixed strategy mashequilibrium-based decision-making framework for autonomous driving inuncontrolled intersection[J]. IEEE Transactions on Vehicular Technology, 2022,71(10): 10316-10326. (SCI检索, 中科院二区Top期刊, IF: 6.8, 第一作者)
2. Nan J, Deng W, Zhang R, et al. Interaction-aware planning with deep inversereinforcement learning for human-like autonomous driving in merge scenarios[J].IEEE Transactions on Intelligent Vehicles, 2024, 9(1): 2714-2726. (SCI检索, 中科院一区期刊, IF: 14, 第一作者)
3. Nan J, Deng W, Zhang R, et al. Car-following behavior modeling with maximumentropy deep inverse reinforcement learning[J]. IEEE Transactions onIntelligent Vehicles, 2024, 9(2): 3998-4010. (SCI检索, 中科院一区期刊, IF: 14, 第一作者)
4. Nan J, Deng W, Zhang R, et al. A long-term actor network for human-likecar-following trajectory planning guided by offline sample-based deep inversereinforcement learning[J]. IEEE Transactions on Automation Science andEngineering, 2023. (SCI检索, 中科院二区Top期刊, IF: 5.9, DOI: 10.1109/TASE.2023.3337230, 第一作者)
5. Nan J, Deng W, Zhao R, et al. Evaluation method with digital expert on thecriticality of car-following scenarios for autonomous vehicles testing[J].Proceedings of the Institution of Mechanical Engineers, Part D: Journal ofAutomobile Engineering, 2024. (SCI检索, 中科院四区期刊, IF: 1.7,DOI: 10.1177/09544070241245484, 第一作者)
6. Zhao R, Deng W, Nan J*, et al. Optimizingsteering feedback torque with reinforcement learning guided by human rewardmodel[J]. IEEE Transactions on Transportation Electrification, 2024. (SCI检索, 中科院一区Top期刊, IF: 7.0, DOI: 10.1109/TTE.2024.3381266, 通讯作者)
南江峰,博士,2024年6月毕业于北京航空航天大学交通科学与工程学院,师从邓伟文教授,东南大学“至善”博士后,合作导师为殷国栋教授。主要研究方向为自动驾驶的决策与控制、基于深度逆强化学习的自动驾驶类人决策规划方法、具备协同自进化能力的安全增强型自动驾驶方法等。近年来以第一作者/通讯作者身份发表SCI期刊论文6篇(其中5篇为中科院一区或Top期刊),担任IEEE TVT、IEEE ITS等多个国际著名期刊审稿人。
1. Nan J, Deng W, Zheng B. Intention prediction and mixed strategy mashequilibrium-based decision-making framework for autonomous driving inuncontrolled intersection[J]. IEEE Transactions on Vehicular Technology, 2022,71(10): 10316-10326. (SCI检索, 中科院二区Top期刊, IF: 6.8, 第一作者)
2. Nan J, Deng W, Zhang R, et al. Interaction-aware planning with deep inversereinforcement learning for human-like autonomous driving in merge scenarios[J].IEEE Transactions on Intelligent Vehicles, 2024, 9(1): 2714-2726. (SCI检索, 中科院一区期刊, IF: 14, 第一作者)
3. Nan J, Deng W, Zhang R, et al. Car-following behavior modeling with maximumentropy deep inverse reinforcement learning[J]. IEEE Transactions onIntelligent Vehicles, 2024, 9(2): 3998-4010. (SCI检索, 中科院一区期刊, IF: 14, 第一作者)
4. Nan J, Deng W, Zhang R, et al. A long-term actor network for human-likecar-following trajectory planning guided by offline sample-based deep inversereinforcement learning[J]. IEEE Transactions on Automation Science andEngineering, 2023. (SCI检索, 中科院二区Top期刊, IF: 5.9, DOI: 10.1109/TASE.2023.3337230, 第一作者)
5. Nan J, Deng W, Zhao R, et al. Evaluation method with digital expert on thecriticality of car-following scenarios for autonomous vehicles testing[J].Proceedings of the Institution of Mechanical Engineers, Part D: Journal ofAutomobile Engineering, 2024. (SCI检索, 中科院四区期刊, IF: 1.7,DOI: 10.1177/09544070241245484, 第一作者)
6. Zhao R, Deng W, Nan J*, et al. Optimizingsteering feedback torque with reinforcement learning guided by human rewardmodel[J]. IEEE Transactions on Transportation Electrification, 2024. (SCI检索, 中科院一区Top期刊, IF: 7.0, DOI: 10.1109/TTE.2024.3381266, 通讯作者)