A Sensorless State Estimation for A Safety-Oriented Cyber-Physical System in Urban Driving: Deep Learning ApproachOACSCD
A Sensorless State Estimation for A Safety-Oriented Cyber-Physical System in Urban Driving: Deep Learning Approach
Mohammad Al-Sharman;David Murdoch;Dongpu Cao;Chen Lv;Yahya Zweiri;Derek Rayside;William Melek
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo N2L 3G1, CanadaDepartment of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo N2L 3G1, CanadaCognitive Autonomous Driving Lab, University of Waterloo, Waterloo N2L 3G1, CanadaSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 999002, SingaporeFaculty of Science, Engineering and Computing, Kingston University London, London SW153DW, UKKhalifa University Center for Autonomous Robotic Systems, Department of Aerospace Engineering, Khalifa University, Abu Dhabi 127788, UAEDepartment of Electrical and Computer Engineering, University of Waterloo, Waterloo N2L 3G1, Canada
Brake pressure state estimationcyber-physical system (CPS)deep learningdropout regularization approach
Brake pressure state estimationcyber-physical system (CPS)deep learningdropout regularization approach
《自动化学报（英文版）》 2021 (1)
169-178,10
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