Abstract
In this paper, we propose a path planning system for autonomous navigation of unmanned aerial vehicle based on a Rapidly-exploring Random Trees (RRT) combination of RRT* Goal and Limit. The system includes a point cloud obtained from the vehicle workspace with a RGB-D sensor, an identification module for interest regions and obstacles of the environment, and a collision-free path planner based on RRT for a safe and optimal navigation of vehicles in 3D spaces.
Author supplied keywords
Cite
CITATION STYLE
Aguilar, W. G., Morales, S., Ruiz, H., & Abad, V. (2017). RRT* GL based optimal path planning for real-time navigation of UAVs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10306 LNCS, pp. 585–595). Springer Verlag. https://doi.org/10.1007/978-3-319-59147-6_50
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
