The RRT* algorithm is adapted with adaptive step size and adaptive search range coupled with the APF algorithm for final path-cutting optimization. This algorithm guarantees computational efficiency while giving
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However, the algorithm might struggle with real-time adaptability in extremely dynamic e nvironments12. Guo et al. proposed the Feedback RRT* algorithm for UAV path planning in hostile environments, integrating feedback mechanisms to adjust trajectories based on dynamic obstacles and threats....
This is repository contains the code of the paper, "UAVs path planning by particle swarm optimization based on visual-SLAM algorithm" computer-visionlocalizationuavoptimizationparticle-swarm-optimizationslam-algorithmsuav-swarm UpdatedFeb 2, 2024
For instance, the RRT algorithm, although Preliminaries MARL offers a powerful framework for addressing the problem of cooperative path planning for multiple UAVs. In this context, each UAV acts as an individual agent that learns to navigate in the environment through trial and error. MARL enables...
Moreover, path planning based on NSBKA is generally superior to other algorithms in terms of energy saving, safety, and computing efficiency during planning. This affirms the effectiveness of the meta-heuristic algorithm in dealing with multiple objective multi-UAV cooperation problems and further ...
2. Waypoint Generation Technology Based on Improved DB-RRT* Algorithm 2.1. Environment Modeling Modeling of emerging threats in the flight environment is a prerequisite for path planning. In this paper, the stochastic function method is utilized to describe the environmental information, which is suita...
Meanwhile, the path planning techniques are classified into two categories, global path planning and local path planning, based on the available workspace information. Firstly, when the environmental conditions are completely known, a global path planning algorithm is executed, which can also be called...
2. Related Work There are many studies on dynamic path planning. The Voronoi map algorithm [8] is the most famous one. Although the Voronoi map algorithm can solve this kind of complicated problem and find the shortest planning path, the computational complexity increases with the complexity of...
This paper provides a classification framework of the UAV formation trajectory planning algorithm, which includes two elements: global planning and local planning. The global trajectory planning algorithm belongs to the static programming algorithm, which carries out trajectory planning based on existing map...