3D search based hybrid optimal trajectory planning for autonomous LHD in turning maneuvers

Q Gu, G Bai, G Wang, Y Meng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Load-haul-dump (LHD) is the main equipment for mining and transportation in underground
metal mines. Autonomous driving represents an essential role in the daily operation of LHD …

An integration planning and control method of intelligent vehicles based on the iterative linear quadratic regulator

Y Liu, X Pei, X Guo, C Chen, H Zhou - Journal of the Franklin Institute, 2024 - Elsevier
This paper proposes an integrated strategy of planning and control to address the poor
quality of the generated trajectory by intelligent vehicles. The trajectory planner is designed …

Real-time spatial trajectory planning for urban environments using dynamic optimization

J Ruof, MB Mertens, M Buchholz… - 2023 IEEE Intelligent …, 2023 - ieeexplore.ieee.org
Planning trajectories for automated vehicles in urban environments requires methods with
high generality, long planning horizons, and fast update rates. Using a path-velocity …

Merit-based motion planning for autonomous vehicles in urban scenarios

J Medina-Lee, A Artuñedo, J Godoy, J Villagra - Sensors, 2021 - mdpi.com
Safe and adaptable motion planning for autonomous vehicles remains an open problem in
urban environments, where the variability of situations and behaviors may become …

Comprehensive reactive safety: No need for a trajectory if you have a strategy

F Da - 2022 IEEE/RSJ International Conference on Intelligent …, 2022 - ieeexplore.ieee.org
Safety guarantees in motion planning for autonomous driving typically involve certifying the
trajectory to be collision-free under any motion of the uncontrollable participants in the …

Safe non-stochastic control of control-affine systems: An online convex optimization approach

H Zhou, Y Song, V Tzoumas - IEEE Robotics and Automation …, 2023 - ieeexplore.ieee.org
We study how to safely control nonlinear control-affine systems that are corrupted with
bounded non-stochastic noise, ie, noise that is unknown a priori and that is not necessarily …

Trajectory Planning of a Semi-Trailer Train Based on Constrained Iterative LQR

W Wang, G Li, S Liu, Q Yang - Applied Sciences, 2023 - mdpi.com
With the development of science and technology, self-driving technology is gradually being
applied to automobile semi-trailer trains. Aiming at the problem that it is challenging to plan …

Distributed model predictive contouring control for real-time multi-robot motion planning

J Xin, Y Qu, F Zhang… - Complex System Modeling …, 2022 - ieeexplore.ieee.org
Existing motion planning algorithms for multi-robot systems must be improved to address
poor coordination and increase low real-time performance. This paper proposes a new …

Continuous decision making for on-road autonomous driving under uncertain and interactive environments

J Chen, C Tang, L Xin, SE Li… - 2018 IEEE Intelligent …, 2018 - ieeexplore.ieee.org
Although autonomous driving techniques have achieved great improvements, challenges
still exist in decision making for variety of different scenarios under uncertain and interactive …

Autonomous vehicle parking in dynamic environments: An integrated system with prediction and motion planning

J Leu, Y Wang, M Tomizuka… - … Conference on Robotics …, 2022 - ieeexplore.ieee.org
This paper presents an integrated motion planning system for autonomous vehicle (AV)
parking in the presence of other moving vehicles. The proposed system includes 1) a hybrid …