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Control strategies on path tracking for autonomous vehicle: State of the art and future challenges
Q Yao, Y Tian, Q Wang, S Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Autonomous vehicle technology aims to improve driving safety, driving comfort, and its
economy, as well as reduce traffic accident rate. As the basic part of autonomous vehicle …
economy, as well as reduce traffic accident rate. As the basic part of autonomous vehicle …
A systematic survey of control techniques and applications in connected and automated vehicles
Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
Cloud control system architectures, technologies and applications on intelligent and connected vehicles: a review
W Chu, Q Wuniri, X Du, Q **ong, T Huang… - Chinese Journal of …, 2021 - Springer
The electrification of vehicle helps to improve its operation efficiency and safety. Due to fast
development of network, sensors, as well as computing technology, it becomes realizable to …
development of network, sensors, as well as computing technology, it becomes realizable to …
State-of-the-art trajectory tracking of autonomous vehicles
L Li, J Li, S Zhang - Mechanical Sciences, 2021 - ms.copernicus.org
Air pollution, energy consumption, and human safety issues have aroused people's concern
around the world. This phenomenon could be significantly alleviated with the development …
around the world. This phenomenon could be significantly alleviated with the development …
Path tracking of autonomous vehicle based on adaptive model predictive control
F Lin, Y Chen, Y Zhao, S Wang - International Journal of …, 2019 - journals.sagepub.com
In most cases, a vehicle works in a complex environment, with working conditions changing
frequently. For most model predictive tracking controllers, however, the impacts of some …
frequently. For most model predictive tracking controllers, however, the impacts of some …
Highly robust adaptive sliding mode trajectory tracking control of autonomous vehicles
Autonomous driving technology has not yet been widely adopted, in part due to the
challenge of achieving high-accuracy trajectory tracking in complex and hazardous driving …
challenge of achieving high-accuracy trajectory tracking in complex and hazardous driving …
Improved bald eagle search algorithm with dimension learning-based hunting for autonomous vehicle including vision dynamics
The lateral deviations on account of the penetrations of road curvature and the parameters
uncertainties are the main issues against the autonomous vehicles (AVs) controller to …
uncertainties are the main issues against the autonomous vehicles (AVs) controller to …
A fast-converging particle swarm optimization through targeted, position-mutated, elitism (PSO-TPME)
We improve convergence speed by two orders of magnitude and the global exploration
capabilities of particle swarm optimization (PSO) through targeted position-mutated elitism …
capabilities of particle swarm optimization (PSO) through targeted position-mutated elitism …
Control of a 3-RRR planar parallel robot using fractional order PID controller
RRR planar parallel robots are utilized for solving precise material-handling problems in
industrial automation applications. Thus, robust and stable control is required to deliver high …
industrial automation applications. Thus, robust and stable control is required to deliver high …