A survey on attack detection and resilience for connected and automated vehicles: From vehicle dynamics and control perspective
Z Ju, H Zhang, X Li, X Chen, J Han… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recent advances in attack/anomaly detection and resilience strategies for connected and
automated vehicles (CAVs) are reviewed from vehicle dynamics and control perspective …
automated vehicles (CAVs) are reviewed from vehicle dynamics and control perspective …
Prediction-uncertainty-aware decision-making for autonomous vehicles
Motion prediction is the fundamental input for decision-making in autonomous vehicles. The
current motion prediction solutions are designed with a strong reliance on black box …
current motion prediction solutions are designed with a strong reliance on black box …
The OpenCDA open-source ecosystem for cooperative driving automation research
Advances in Single-vehicle intelligence of automated driving has encountered great
challenges because of limited capabilities in perception and interaction with complex traffic …
challenges because of limited capabilities in perception and interaction with complex traffic …
Secure cooperative path following of autonomous surface vehicles under cyber and physical attacks
This paper is concerned with the networked cooperative path following (CPF) problem for
multiple autonomous surface vehicles (ASVs) subject to simultaneous cyber and physical …
multiple autonomous surface vehicles (ASVs) subject to simultaneous cyber and physical …
Train-centric communication based autonomous train control system
H Song, S Gao, Y Li, L Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Driverless train control systems are becoming popular in the world. Notably, this technology
has already been applied for several years. However, these kinds of Automatic Train …
has already been applied for several years. However, these kinds of Automatic Train …
Physical-informed neural network for MPC-based trajectory tracking of vehicles with noise considered
The trajectory tracking plays a vital role in unmanned driving technology. Although
traditional control schemes may yield satisfactory outcomes in dealing with simple linear …
traditional control schemes may yield satisfactory outcomes in dealing with simple linear …
A physics-informed road user safety field theory for traffic safety assessments applying artificial intelligence-based video analytics
The rapid technological advancements in video analytics and the availability of big data
have made traffic conflict techniques a viable tool for road safety assessments. They can …
have made traffic conflict techniques a viable tool for road safety assessments. They can …
GPS-free collaborative elliptical circumnavigation control for multiple non-holonomic vehicles
X Shao, S Li, J Zhang, F Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper investigates a novel GPS-free collaborative elliptical circumnavigation control for
multiple non-holonomic vehicles, where two realistic issues—achieving a higher efficiency …
multiple non-holonomic vehicles, where two realistic issues—achieving a higher efficiency …
Human-oriented online driving authority optimization for driver-automation shared steering control
J Liu, Q Dai, H Guo, J Guo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Drivers are being confronted by the task of controlling vehicles together with automation
systems before autonomous vehicles are even fully realized. A novel human-oriented online …
systems before autonomous vehicles are even fully realized. A novel human-oriented online …
Resilient formation tracking of spacecraft swarm against actuation attacks: A distributed Lyapunov-based model predictive approach
This article studies the resilient formation tracking control problem for spacecraft swarm
while considering actuation attacks and input saturation. A distributed Lyapunov-based …
while considering actuation attacks and input saturation. A distributed Lyapunov-based …