Motion planning for autonomous driving: The state of the art and future perspectives

S Teng, X Hu, P Deng, B Li, Y Li, Y Ai… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Intelligent vehicles (IVs) have gained worldwide attention due to their increased
convenience, safety advantages, and potential commercial value. Despite predictions of …

Parallel driving OS: A ubiquitous operating system for autonomous driving in CPSS

L Chen, Y Zhang, B Tian, Y Ai, D Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the rapid development of autonomous driving technologies, a vast array of autonomous
driving algorithms and platforms have emerged. These algorithms and platforms are usually …

Hierarchical interpretable imitation learning for end-to-end autonomous driving

S Teng, L Chen, Y Ai, Y Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
End-to-end autonomous driving provides a simple and efficient framework for autonomous
driving systems, which can directly obtain control commands from raw perception data …

Milestones in autonomous driving and intelligent vehicles—part ii: Perception and planning

L Chen, S Teng, B Li, X Na, Y Li, Z Li… - … on Systems, Man …, 2023 - ieeexplore.ieee.org
A growing interest in autonomous driving (AD) and intelligent vehicles (IVs) is fueled by their
promise for enhanced safety, efficiency, and economic benefits. While previous surveys …

[HTML][HTML] A mini review on UAV mission planning

X Wang, H Wang, H Zhang, M Wang… - Journal of Industrial …, 2023 - aimsciences.org
With the increasing complexity of modern air warfare, an efficient and robust mission
planning, which mainly includes task assignment and path planning, becomes the key issue …

Autonomous dispatch trajectory planning on flight deck: A search-resampling-optimization framework

X Wang, B Li, X Su, H Peng, L Wang, C Lu… - … Applications of Artificial …, 2023 - Elsevier
There is a growing expectation to realize the autonomous dispatch on flight deck, where
dispatch trajectory planning is seen as the key technique. Optimal-control based method has …

Mixed-integer and conditional trajectory planning for an autonomous mining truck in loading/dumping scenarios: A global optimization approach

B Li, Y Ouyang, X Li, D Cao, T Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Trajectory planning for a heavy-duty mining truck near the loading/dumping sites of an open-
pit mine is difficult. As opposed to trajectory planning for a small-sized passenger car in a …

Identifying critical test scenarios for lane keeping assistance system using analytic hierarchy process and hierarchical clustering

R Song, X Li, X Zhao, M Liu, J Zhou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Lane keeping assistance system (LKAS) is critical components of autonomous driving
technologies, and their reliable operation is crucial to ensure passenger safety and maintain …

Adaptive lane change trajectory planning scheme for autonomous vehicles under various road frictions and vehicle speeds

J Hu, Y Zhang, S Rakheja - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
This paper proposes an adaptive lane change trajectory planning scheme to road friction
and vehicle speed for autonomous driving, while considering both the maneuver safety and …

A faster cooperative lane change controller enabled by formulating in spatial domain

H Wang, W Hao, J So, X Xiao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Lane-Change (LC) maneuvers are deemed to jeopardize traffic safety, mobility, and
sustainability. Cooperative Lane-Change (CLC) solves this problem by accelerating the LC …