Luo, "Path planning for multi-uav formation," Journal of Intelligent & Robotic Systems, vol. 77, no. 1, pp. 229-246, 2015.Y. B. Chen, J. Q. Yu, X. L. Sun, and G. C. Luo, ``Path Planning for Multi- UAV Formation'' Journal of Intelligent & Robotic Systems, vol. 1, no....
Section 3 provides details of the uninterrupted path planning system. Section 4 emphasizes on implementation of the PSO algorithm for constraint multi USVs path planning. Section 5 demonstrates extensive simulation studies and performance evaluation of the proposed algorithm in qualitative, quantitative and...
After that, several control methods commonly used in formation of multiple UAVs are introduced respectively. Lastly, possible research directions in the future time are put forward. 展开 关键词: UAV Formation Control Cooperative Path Planning Path Coordination ...
This paper investigates the formation control system design for multiple quadcopters with path planning for territory surveillance. The development is manifested with nonlinear dynamic modelling, position and attitude control of the quadrotor UAVs followed by leader-follower formation control for multi-drone...
1.High Survivability Path Planning for Unmanned Air Vehicles编队无人机的高生存力协同航路规划方法 2.Research on Path Planning for Patrol and Reconnaissance of Loitering Attack Missiles巡逻攻击导弹协同侦察航路规划研究 3.A Method of Trajectory Plan for Multi-UAV Coordinated Attacks一种多无人机协同攻击航...
Path Planning for Multi-UAV Formation This paper presents an efficient and feasible algorithm for the path planning problem of the multiple unmanned aerial vehicles (multi-UAVs) formation in a ... YB Chen,JQ Yu,XL Su,... - 《Journal of Intelligent & Robotic Systems》 被引量: 33发表: 2015...
Aiming at the area coverage problem of multiple autonomous surface vehicles (ASVs), this paper investigates a coverage path planning (CPP) strategy based on an electronic chart display and information system (ECDIS). Method First, according to the information of sea, land and water depth from ECD...
A group of real-time threat UAV route planning methods of information sharing environment, which has seven steps: Step 1: Initialize; Step two: target point plan; Step Three: Calculate ΔθPS and wPS; Step Four: ambiguity; step 5: Determine the remaining parameters; Step 6: determine the ...
Efficient path planning for UAV formation via comprehensively improved particle swarm optimization ISA Trans (2020) ZhuangY.et al. Cooperative path planning of multiple autonomous underwater vehicles operating in dynamic ocean environment ISA Trans ...
(2003) studied formation path planning for unmanned USV formation. It should be noted that cooperative behaviour for aerial vehicle (UAV), unmanned ground vehicle (UGV) and mobile formation path planning is vital. Each vehicle should establish robots, there is currently no work specifically ...