Path Planning Method for UAVs Based on Constrained Polygonal Space and an Extremely Sparse Waypoint Graph

Path Planning Method for UAVs Based on Constrained Polygonal Space and an Extremely Sparse Waypoint Graph

Finding an optimal/quasi-optimal path for Unmanned Aerial Vehicles (UAVs) utilizing full map information yields time performance degradation in large and complex three-dimensional (3D) urban environments populated by various obstacles. A major portion of the computing time is usually wasted on model...

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Bibliographic Details
Main Authors: Abdul Majeed, Seong Oun Hwang
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Applied Sciences
Subjects:
constrained polygonal space
path length
path planning
obstacles
maps
unmanned aerial vehicles
Online Access:https://www.mdpi.com/2076-3417/11/12/5340

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