8 citations · 8 across the 4 of their papers we have counts for
5 papers
DSRC & C-V2X Comparison for Connected and Automated Vehicles in Different Traffic Scenarios
Yuanzhe Jin, Xiangguo Liu, Qi Zhu
Researches have been devoted to making connected and automated vehicles (CAVs) faster in different traffic scenarios. By using C-V2X or DSRC communication protocol, CAVs can work m…
Physics-Aware Safety-Assured Design of Hierarchical Neural Network based Planner
Xiangguo Liu, Chao Huang, Yixuan Wang +2
Neural networks have shown great promises in planning, control, and general decision making for learning-enabled cyber-physical systems (LE-CPSs), especially in improving performan…
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering
Ruochen Jiao, Hengyi Liang, Takami Sato +3
In the development of advanced driver-assistance systems (ADAS) and autonomous vehicles, machine learning techniques that are based on deep neural networks (DNNs) have been widely…
Securing Connected Vehicle Applications with an Efficient Dual Cyber-Physical Blockchain Framework
Xiangguo Liu, Baiting Luo, Ahmed Abdo +2
While connected vehicle (CV) applications have the potential to revolutionize traditional transportation system, cyber and physical attacks on them could be devastating. In this wo…
Trajectory Planning for Connected and Automated Vehicles: Cruising, Lane Changing, and Platooning
Xiangguo Liu, Guangchen Zhao, Neda Masoud +1
Autonomy and connectivity are considered among the most promising technologies to improve safety, mobility, fuel and time consumption in transportation systems. Some of the fuel ef…