姓名
邓超
性别
男



职称
副教授
最终学位
博士

出生年月
1986/5
电子邮箱
woec@wust.edu.cn

专业
交通运输工程



个人简介：
武汉科技大学副教授，硕士生导师，智能汽车工程研究院人机交互与决策控制技术团队负责人，国际华人人因工程学会会员，中国交通运输协会青年科技工作者工作委员会委员，赤骥无人驾驶车队指导教师，长期从事L3~L4级自动驾驶ROS系统和接管预警系统的科研工作，《道路交通人因特性及安全评价与优化方法》核心主笔人之一，提出驾驶认知数值仿真的安全评级机制，入选ACT-R全球技术专家库。讲授“数据挖掘技术及应用”等研究生和本科课程。近五年来，主持国家自然科学基金、湖北省自然科学基金等项目近10项，发表论文30余篇，授权专利5项，获国际华人人因工程学会年度最佳论文奖1项。

工作经历：
2020年12月至今武汉科技大学，汽车与交通工程学院，副教授
2019年7月至2020年11月武汉科技大学，汽车与交通工程学院，讲师
教育经历：
2015年9月至2019年6月武汉理工大学，ITS&REI，交通运输工程，全日制博士生
2018年1月至2018年12月加拿大University of Waterloo，系统工程，公派联培博士生

主要研究方向
智能驾驶（ROS系统、SLAM激光制图、模式识别、轨迹规划；智能座舱、人机共驾、多模态感知、驾驶员模型）

教学科研情况（近五年）
项目：
1．国家自然科学基金青年科学基金项目，自动驾驶被动脱离状态下驾驶人应急接管认知机理研究，2021-1至2023-12，主持；
2．湖北省自然科学基金计划青年项目，高速公路团雾气候下驾驶应激响应预警机制研究，2020-10至2022-10，主持；
3．湖北省教育厅科学技术研究计划青年人才项目，基于“驾乘意图—车辆状态—动态环境”的碰撞风险综合态势感知方法，2020-1至2021-12，主持；
4．教育部产学合作协同育人项目，基于人工智能的交通运输创新实验基地建设，2021-2至2022-2，主持；
5．武汉科技大学本科教学研究项目，考虑学生认知负荷的教学方式探索与实践，2020-6至2020-12，主持；
6．“运输车辆检测、诊断与维修技术”交通行业重点实验室开放课题，考虑驾驶应激行为的雾区车辆智能引导方案，2019-10至2021-10，主持；
7．中央高校基本科研业务费专项基金，人机共驾下的控制权智能交互机理研究，2018-1至2018-12，主持。
论文：
1．Construction of traffic and transportation engineering innovation lab based on artificial intelligence [C]. Proceedings of 2021 International Conference on Electronic Commerce, Engineering Management and Information Systems. Toronto, Canada, 2021, 2: 459-463. (EI, 序1, 论文宣讲, 2021.02.25-2021.02.27)
2．Talent Training Mode Reform Based on the “Specialty Plus Smart Transportation” in Transportation Specialties [C]. Proceedings of 2021 5th International Conference on Education, Management and Social Science. Suzhou, China, 2021, 3: 544-547. (EI, 序5, 论文宣讲, 2021.03.27-2021.03.28)
3．Auditory distraction driving on brain computer interface [C]. Proceedings of 16th IEEE Conference on Industrial Electronics and Applications. Southwest Jiaotong University, Chengdu, China, 2021. (Accepted, EI, 序1, 论文宣讲, 2021.08.01-2021.08.04)
4．An experimental investigation of novice and experience drivers’ performance in a car following [C]. Proceedings of 4th IEEE International Conference on Intelligent Autonomous Systems. Peking University, Beijing, China, 2021. (Accepted, EI, 序1, 论文宣讲, 2021.10.07-2021.10.10)
5．Study on LiDAR obstacle detection for FSAC racing car Chiji [C]. Proceedings of 4th IEEE International Conference on Intelligent Autonomous Systems. Wuhan University of Science and Technology, Wuhan, China, 2021. (Accepted, EI, 序1, 论文宣讲, 2021.05.24-2021.05.26)
6．Modeling driver take-over reaction time and emergency response time using an integrated cognitive architecture [J]. Transportation Research Record, 2019, 2673(12): 380-390. (SCI,序1)
7．A field operational test in China: Exploring the effect of an advanced driver assistance system on driving performance and braking behavior [J]. Transportation Research Part F: Traffic Psychology & Behaviour, 2019, 65: 730-747. (SSCI/EI, 序2)
8．Modeling the effect of limited sight distance through fog on car-following performance using QN-ACTR cognitive architecture [J]. Transportation Research Part F: Traffic Psychology & Behaviour, 2019, 65: 643-654. (SSCI/EI, 序1)
9．Predicting drivers’ direction sign reading reaction time using an integrated cognitive architecture [J]. IET Intelligent Transport Systems, 2018, 13(4): 622-627.(SCI/EI, 序1)
10．Driving style recognition method using braking characteristics based on hidden Markov model [J]. PLoS One, 2017, 12(8): e**. (SCI, 序1)
11．Modeling driver take-over reaction time and emergency response time using an integrated cognitive architecture [C]. Proceedings of Transportation Research Board 98th Annual Meeting. Washington State Convention Center, Washington D.C., U.S.A. (Top Conference on Transportation, 序1, 论文宣讲, 2019.01.12-2019.01.17)
12．Modeling driver take-over reaction time using an integrated cognitive architecture [C]. Proceedings of 2nd International Meeting of Human and Technology. Marriott Downtown, Philadelphia, U.S.A. (序1, 论文宣讲, 2018.10.03)
13．A car following model based on safety margin considering human and road factors [C]. Proceedings of Transportation Research Board 100th Annual Meeting. Washington State Convention Center, Washington D.C., U.S.A. (Top Conference on Transportation, 序1, 学术海报展示, 2021.01.05-2021.01.08)
14．Effect of distracted driving with auditory tasks on driving safety using an integrated cognitive architecture [C]. Proceedings of Transportation Research Board 99th Annual Meeting. Washington State Convention Center, Washington D.C., U.S.A. (Top Conference on Transportation, 序1, 学术海报展示, 2020.01.12-2020.01.16)
15．Traffic sign recognition task cognitive integration model based on the ACT-R cognitive structure [C]. Proceedings of 4th International Conference on Transportation Information and Safety. University of Alberta, Banff, Canada, 2017:337-342. (EI, 序1, 论文宣讲, 2017.08.07-2017.08.10)
16．Clustering-based lateral longitudinal target recognition of in-vehicle LIDAR data [C]. Proceedings of 16th COTA International Conference of Transportation Professionals. Shanghai Maritime University, Shanghai, P. R. China: 2016, 308-321. (EI, 序1, 论文宣讲, 2016.07.06-2016.07.09)
17．Driver’s cognitive workload and driving performance under traffic sign information exposure in complex environments: A case study of the highways in China [J]. International Journal of Environmental Research and Public Health, 2017, 14(2): 203.(SCI/SSCI, 序5)
18．人机共驾车辆驾驶人接管过程的认知体系结构模型[D]. 武汉理工大学. 2019. (序1)
专利：
1．一种带反光刻度的城市内涝期道路水深检测装置：4.5.2020-4-16. 序1;
2．一种智能道路可变标线：1.1. 2016-9-6. 序4;
3．一种多功能道路实验车平台：2. 2. 2016-3-1. 序6;
4．路锥自动回收装置及其回收方法：7. 9. 2016-9-6. 序6;
5．基于图像识别的驾驶员负荷检测车载装置：0.2. 2017-4-12.序6.
获奖：
1．International Chinese Association for Human Factors “Best Paper Award of the Year” (论文: Modeling driver take-over reaction time using an integrated cognitive architecture，序1) . Philadelphia, U.S.A., 2018.10;
2．武汉科技大学首届“课程思政”教学设计大赛，二等奖，2020.06.

国内外学术组织机构任职情况
1．国际华人人因工程学会会员；
2．中国交通运输协会青年科技工作者工作委员会委员；
3．担任《交通信息与安全》、IEEE Transactions on Intelligent Transportation Systems和Transportation Research Board等10余家国内外杂志评审专家；
4．兼任长江云通集团有限公司技术顾问等职。