Research advances and challenges of autonomous and connected ground vehicles
Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …
solution for the public, but the complex and various environments in the real world make it …
Modelling and control strategies in path tracking control for autonomous ground vehicles: A review of state of the art and challenges
Autonomous vehicle field of study has seen considerable researches within three decades.
In the last decade particularly, interests in this field has undergone tremendous …
In the last decade particularly, interests in this field has undergone tremendous …
Robust H∞ output-feedback control for path following of autonomous ground vehicles
This paper presents a robust H∞ output-feedback control strategy for the path following of
autonomous ground vehicles (AGVs). Considering the vehicle lateral velocity is usually hard …
autonomous ground vehicles (AGVs). Considering the vehicle lateral velocity is usually hard …
Robust Path Following Control for Autonomous Ground Vehicles With Delay and Data Dropout
This paper presents a robust H∞ path following control strategy for autonomous ground
vehicles with delays and data dropouts. The state measurements and signal transmissions …
vehicles with delays and data dropouts. The state measurements and signal transmissions …
A path-tracking algorithm using predictive Stanley lateral controller
A AbdElmoniem, A Osama… - … Journal of Advanced …, 2020 - journals.sagepub.com
Path tracking is one of the most important aspects of autonomous vehicles. The current
research focuses on designing path-tracking controllers taking into account the stability of …
research focuses on designing path-tracking controllers taking into account the stability of …
Development of a genetic-algorithm-based nonlinear model predictive control scheme on velocity and steering of autonomous vehicles
X Du, KKK Htet, KK Tan - IEEE Transactions on Industrial …, 2016 - ieeexplore.ieee.org
Model predictive controller (MPC) has demonstrated its competency in controlling
autonomous vehicles. But to apply the current MPC-based schemes, it has to be formulated …
autonomous vehicles. But to apply the current MPC-based schemes, it has to be formulated …
RDT-RRT: Real-time double-tree rapidly-exploring random tree path planning for autonomous vehicles
The complexity of the environment makes rapidly-exploring random tree (RRT) difficult to
handle dynamic obstacle avoidance and system constraint in real-time path planning for …
handle dynamic obstacle avoidance and system constraint in real-time path planning for …
Adaptive modified Stanley controller with fuzzy supervisory system for trajectory tracking of an autonomous armoured vehicle
In developing path tracking controller for autonomous vehicles, a properly tuned controller
will work well for a certain range of driving conditions but may need to be re-tuned for others …
will work well for a certain range of driving conditions but may need to be re-tuned for others …
Trajectory planning and collision avoidance algorithm for mobile robotics system
The field of autonomous mobile robotics has recently gained many researchers' interests.
Due to the specific needs required by various applications of mobile robot systems …
Due to the specific needs required by various applications of mobile robot systems …
A review on threat assessment, path planning and path tracking strategies for collision avoidance systems of autonomous vehicles
The growth of automation sector has brought numerous autonomous technology
developments in many sectors, especially automotive. The autonomous features are proven …
developments in many sectors, especially automotive. The autonomous features are proven …