The path planning of unmanned differential steering vehicles (UDSVs) in the off-road environment not only needs to consider the non-complete constraints of vehicles but also faces the challenges of complex off-road terrains and obstacles. In this paper, an integrated path planning system is proposed to handle the influence of kinematic vehicle model, off-road terrains and obstacles systematically for the path planning of UDSVs. To improve the planning efficiency, a Pre-planning is designed and carried out using the Voronoi diagram established in the 3D environment with obstacles. By combining the potential field functions (PFF) related to passable obstacles and 3D terrains, an integrated PFF is defined to represent the movement cost of UDSV in the nonlinear optimal control (NOC) problem. Based on the NOC, a channel path planning (CPP) problem is formulated to avoid the untraceable path caused by the traditional line path planning (LPP). Simulation results show that the proposed system can plan a feasible path fast with the constraints from vehicle kinematics, obstacle avoidance and off-road terrains.
Integrated Path Planning for Unmanned Differential Steering Vehicles in Off-Road Environment With 3D Terrains and Obstacles
IEEE Transactions on Intelligent Transportation Systems ; 23 , 6 ; 5562-5572
2022-06-01
5109343 byte
Article (Journal)
Electronic Resource
English
British Library Conference Proceedings | 1991
|Traversability Analysis and Path Planning for Autonomous Wheeled Vehicles on Rigid Terrains
DOAJ | 2024
|Path Planning of Unmanned Aerial Vehicles in a Dynamic Environment
British Library Conference Proceedings | 2011
|