Path Planning for UAV Based on Improved PRM

Path Planning Using Lazy PRM

Real-time Path Planning Strategy for UAV Based on Improved Particle Swarm Optimization

Unmanned Aerial Vehicle (UAV) path planning is divided into off-line static path planning and real-time dynamic path planning. The former one is applied to the ideal situation that the terrain has been clear, and there is no unexpected situation in flight. Actually, however, the flight situation is very complex, we have to adopt real-time path planning based on off-line static path planning. To...

PRM path planning optimization algorithm research

The PRM (probabilistic roadmap method) path planning algorithm is applied to the mobile robot path planning problem of limited environment. And a path optimization algorithm based on modified node enhancement strategies and geometric smoothing is proposed. The node enhancing method is used to optimize the initial planning with the base PRM algorithm, the original path nodes are gradually substi...

Multi-Agent UAV Path Planning

This paper introduces a simulation designed to test real-time path planning done by single and multiple agents. The components of the simulation include a road network, several Uninhabited Aerial Vehicles (UAVs) with electro-optic sensors, a target and an Uninhabited Ground Vehicle (UGV). The target and UGV are located on the road network. Random blockages are placed on the road network, possib...

Parallel Evolutionary Algorithms for Uav Path Planning

Evolutionary computation (EC) techniques have been successfully applied to compute near-optimal paths for unmanned aerial vehicles (UAVs). Premature convergence prevents evolutionary-based algorithms from reaching global optimal solutions. This often leads to unsatisfactory routes that are suboptimal to optimal path planning problems. To overcome this problem, this paper presents a framework of...