自动化学报（英文版）2021，Vol.8Issue(1)：169-178,10.DOI:10.1109/JAS.2020.1003474
A Sensorless State Estimation for A Safety-Oriented Cyber-Physical System in Urban Driving: Deep Learning Approach
A Sensorless State Estimation for A Safety-Oriented Cyber-Physical System in Urban Driving: Deep Learning Approach
Mohammad Al-Sharman 1David Murdoch 2Dongpu Cao 3Chen Lv 4Yahya Zweiri 5Derek Rayside 6William Melek1
作者信息
- 1. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo N2L 3G1, Canada
- 2. Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo N2L 3G1, Canada
- 3. Cognitive Autonomous Driving Lab, University of Waterloo, Waterloo N2L 3G1, Canada
- 4. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 999002, Singapore
- 5. Faculty of Science, Engineering and Computing, Kingston University London, London SW153DW, UK
- 6. Khalifa University Center for Autonomous Robotic Systems, Department of Aerospace Engineering, Khalifa University, Abu Dhabi 127788, UAE
- 折叠
摘要
关键词
Brake pressure state estimation/cyber-physical system (CPS)/deep learning/dropout regularization approachKey words
Brake pressure state estimation/cyber-physical system (CPS)/deep learning/dropout regularization approach引用本文复制引用
Mohammad Al-Sharman,David Murdoch,Dongpu Cao,Chen Lv,Yahya Zweiri,Derek Rayside,William Melek..A Sensorless State Estimation for A Safety-Oriented Cyber-Physical System in Urban Driving: Deep Learning Approach[J].自动化学报（英文版）,2021,8(1):169-178,10.
