Z Wang, C Huang, Q Zhu - 2022 Design, Automation & Test in …, 2022 - ieeexplore.ieee.org
The robustness of deep neural networks has received significant interest recently, especially when being deployed in safety-critical systems, as it is important to analyze how sensitive …
Neural networks have shown great promises in planning, control, and general decision making for learning-enabled cyber-physical systems (LE-CPSs), especially in improving …
R Jiao, X Liu, B Zheng, D Liang… - 2022 IEEE/RSJ …, 2022 - ieeexplore.ieee.org
Trajectory generation and prediction are two in-terwoven tasks that play important roles in planner evaluation and decision making for intelligent vehicles. Most existing methods focus …
Automotive cyber-physical systems consist of multiple control subsystems working under resource limitations, and the trend is to run the corresponding control tasks on a shared …
With growing system complexity and closer cyber-physical interaction, there are stronger needs for cyber-physical systems to adapt to the dynamic environment and improve their …