刘威

个人信息Personal Information

教师拼音名称:liuwei

电子邮箱:

入职时间:2010-03-16

办公地点:东软软件园A4楼101

学术成果

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论文

 1. Real-time Traffic Light Recognition Based on Smart Phone Platforms, IEEE Transactions on Circuits and Systems for Video Technol, 2017, 27(5) 1118-1131.

 2. 基于多条件随机场模型的图像3D空间布局理解,电子学报,2017, 45(2): 328- 336.

 3. 基于多特征融合的图像区域几何标记,东北大学学报, 2017, 38(7) 927-931.

 4. Edge Enhanced Traffic Scene Segmentation Algorithm with Deep Neural Network, Intelligent & Connected Vehicles Symposium. 2017, 10.4271/2017-01-1967.

 5. 基于子块运动补偿的运动目标检测,电子学报,2017, 45(1): 173-180.

 6. Semi-Cascade Network for Driver’s Distraction Recognition, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2019, 233(9).

 7. Adaptive Fuzzy Event-Triggered Control for a Class of Switched Nonlinear Systems with Dead Zone Nonlinearity, International Journal of Control, Automation and Systems, 2021, 19(12).

 8. Adaptive Optimized Backstepping Control-Based RL Algorithm for Stochastic Nonlinear Systems With State Constraints and Its Application,IEEE TRANSACTIONS ON CYBERNETICS, 2021.

 9. 引入概率分布的深度神经网络贪婪剪枝,中国图象图形学报,2021, 26(1).

10. Observer-Based Adaptive Optimized Control for Stochastic Nonlinear Systems With Input and State Constraints, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2021.

11. Neural Network Adaptive Output-Feedback Optimal Control for Active Suspension Systems,  IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 52(6).

授权专利

 1. 一种车辆行驶控制方法、装置及车辆CN109080535B

 2. 一种识别车道线的方法和装置CN109858309B

 3. 一种基于自适应巡航控制的车辆筛选方法及装置CN111319623B

 4. 一种车辆行驶意图识别方法及装置,CN109747638B

 5. Method and apparatus for Detecting Road Lane US110748013B2

 6. 車両死角内の目標対象の検出方法及びその装置(日)第 2015025721

 7. 一种污点区域检测方法CN104143185B

 8. 知的地形特定のための方法及び装置、車両搭載端末、並びに車両(日)第6615933

 9. 線検出のための方法及び装置(日)第6572345

国家和行业标准

 1. 商用车自动紧急制动系统(AEBS)性能要求及试验方法,GB/T 38186-2019

 2. 限定场景下的低速自动驾驶系统性能要求与测试规程,T/ITS 0119-2019

 3. 乘用车车门开启预警系统性能要求及试验方法,20205126-T-339

 4. 乘用车自动紧急制动系统(AEBS)性能要求及试验方法,GB/T 39901-2021

 5. 汽车驾驶自动化分级,GB/T 40429-2021