Robust path planning for avoiding obstacles using time-environment dynamic map

Small unmanned aerial vehicles are widely used in urban space because of its flexibility and maneuverability. However, there are full of dynamic obstacles and immobile obstacles which will affect safe flying in urban space. In this paper, a novel integrated path planning approach for unmanned aerial...

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Bibliographic Details
Main Authors: Xiaolin Zhao, Yu Zhang, Boxin Zhao
Format: Article
Language:English
Published: SAGE Publishing 2020-01-01
Series:Measurement + Control
Online Access:https://doi.org/10.1177/0020294019847704
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author Xiaolin Zhao
Yu Zhang
Boxin Zhao
author_facet Xiaolin Zhao
Yu Zhang
Boxin Zhao
author_sort Xiaolin Zhao
collection DOAJ
description Small unmanned aerial vehicles are widely used in urban space because of its flexibility and maneuverability. However, there are full of dynamic obstacles and immobile obstacles which will affect safe flying in urban space. In this paper, a novel integrated path planning approach for unmanned aerial vehicles is presented, which is consisted of three steps. First, a time-environment dynamic map is constructed to represent obstacles by introducing time axis. Second, unmanned aerial vehicles’ flyable paths are explored based on breadth-first algorithm. Third, a path planning method using A* algorithm and local trace-back model is designed in order to discover sub-optimal feasible path rapidly in unmanned aerial vehicles’ field of view. Finally, the simulation results have illustrated that the proposed method can ensure unmanned aerial vehicles’ autonomous path planning safely and effectively in urban space crowded with obstacles.
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spelling doaj.art-d8cf3069067c45f7abcf1c2f5bdd5e002022-12-22T03:33:02ZengSAGE PublishingMeasurement + Control0020-29402020-01-015310.1177/0020294019847704Robust path planning for avoiding obstacles using time-environment dynamic mapXiaolin Zhao0Yu Zhang1Boxin Zhao2Air Force Engineering University, Xi’an, ChinaDepartment of Electronic Engineering, Tsinghua University, Beijing, ChinaAir Force Engineering University, Xi’an, ChinaSmall unmanned aerial vehicles are widely used in urban space because of its flexibility and maneuverability. However, there are full of dynamic obstacles and immobile obstacles which will affect safe flying in urban space. In this paper, a novel integrated path planning approach for unmanned aerial vehicles is presented, which is consisted of three steps. First, a time-environment dynamic map is constructed to represent obstacles by introducing time axis. Second, unmanned aerial vehicles’ flyable paths are explored based on breadth-first algorithm. Third, a path planning method using A* algorithm and local trace-back model is designed in order to discover sub-optimal feasible path rapidly in unmanned aerial vehicles’ field of view. Finally, the simulation results have illustrated that the proposed method can ensure unmanned aerial vehicles’ autonomous path planning safely and effectively in urban space crowded with obstacles.https://doi.org/10.1177/0020294019847704
spellingShingle Xiaolin Zhao
Yu Zhang
Boxin Zhao
Robust path planning for avoiding obstacles using time-environment dynamic map
Measurement + Control
title Robust path planning for avoiding obstacles using time-environment dynamic map
title_full Robust path planning for avoiding obstacles using time-environment dynamic map
title_fullStr Robust path planning for avoiding obstacles using time-environment dynamic map
title_full_unstemmed Robust path planning for avoiding obstacles using time-environment dynamic map
title_short Robust path planning for avoiding obstacles using time-environment dynamic map
title_sort robust path planning for avoiding obstacles using time environment dynamic map
url https://doi.org/10.1177/0020294019847704
work_keys_str_mv AT xiaolinzhao robustpathplanningforavoidingobstaclesusingtimeenvironmentdynamicmap
AT yuzhang robustpathplanningforavoidingobstaclesusingtimeenvironmentdynamicmap
AT boxinzhao robustpathplanningforavoidingobstaclesusingtimeenvironmentdynamicmap