Abstract: Optimal path planning is a key problem for the control of autonomous unmanned ground vehicles. Particle swarm optimization has been used to solve ...
Abstract— Optimal path planning is a key problem for the control of autonomous unmanned ground vehicles. Particle swarm optimization has been used to solve ...
Optimal path planning is a key problem for the control of autonomous unmanned ground vehicles. Particle swarm optimization has been used to solve the ...
Abstract. This paper investigates a formation control for a group of unmanned ground vehicles in a dynamic environment. The group consisting of one leader ...
In this study, particle swarm optimization (PSO) is proposed for trajectory optimization. PSO is a population-based stochastic global optimization method.
We present OkayPlan, a GPP algorithm capable of generating safe and short paths in dynamic scenarios at a real-time executing speed (125 Hz on a desktop-class ...
Missing: Ground | Show results with:Ground
The Sine–Levy tuna swarm optimization (SLTSO) algorithm is a novel method based on the sine strategy and Levy flight guidance.
This paper presents a new algorithm named spherical vector-based particle swarm optimization (SPSO) to deal with the problem of path planning for unmanned ...
Trajectory Planning for an Unmanned Ground Vehicle Group Using Augmented Particle Swarm Optimization in a Dynamic Environment 2009 IEEE International ...
Trajectory planning for an unmanned ground vehicle group using augmented particle swarm optimization in a dynamic environment · Yunji WangP. ChenYufang Jin.