In order to meet the needs for the safe operation of unmanned aerial vehicles (UAV)s in cities, this paper proposes a multi-objective path planning method based on a particle swarm optimization algorithm. Firstly, a complex urban environment model is constructed by using ...
[5] Y.B. Chen, G.C. Luo, Y.S. Mei, J.Q. Yu, X.L. Su, UAV path planning using artificial potential field method updated by optimal control theory, Internat.J. Systems Sci. 47 (2016) 1407–1420 [6] S. Bayili, F. Polat, Limited-Damage A*: A path search algorithm that consi...
Recently, the industry of drone systems has come into the spotlight because a new potential market has been revealed. A considerable number of drones are d
Key words : UAV/UGV cooperation systems;target recognition;global path planning;SURF algorithm;optimized A* algorithm 0 引言 单独的无人机(UAV)与单独的无人车(UGV)在工作方式、搭载传感器等方面存在显著不同,在感知、负载、速度、视野获取等方面也有很强的互补性。图1为典型的UAV/UGV协同系统,图2为不...
UAV path planning 离散化 One useful method for UAV path planning is to approximate the UAV dynamics by a discrete-time state space, with the state vector typically consisting of the position and velocity in a three-dimensional (3D) coordinate system. 覆盖问题的路径规划 the main design problems...
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Regardless of the size of deployment area, our proposed scheme incurs low computational load due to the dependency on pre-defined interest points only thereby making it suitable for real-time path planning. Simulation results obtained using MATLAB’s UAV Toolbox show that the proposed method ...
CHEN H Y, CHEN H X, LIU QI. Path planning of multiUAV 3D formation based on improved artificial potential field method[J]. Journal of System Simulation, 2020, 32(3): 414-420. [24] 张博渊, 宗群, 鲁瀚辰, 等. 基于 hp 自...
This paper addresses path planning algorithms for an uninhabited aerial vehicle (UAV) based on visibility lines (VL) method for real time applications. VL has been chosen because it provides a solution with optimal path length i.e. minimal distance travelled from starting point to target point. ...
method is its simplicity and the high ability of real-time computation. However, the path planning based on VF still has some limitations: (1) The category of threats defined by repulsion force is not enough and the setting of parameters is not ...