An avoiding obstacles method of multi-rotor UAVs

Shouzhi Xu, Yuan Cheng, Huan Zhou, Chung-Ming Huang, Zhiyong Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

As UAVs (Unmanned Aerial Vehicle) being widely used in remote sensing of agriculture resources and many other areas, the security of UAVs flying at a low altitude is getting more and more serious. This paper studies on the problem of obstacle avoidance while the UAV cruises at low altitude for agriculture sensing. Two kinds of obstacles are taken into account. A rapid obstacle-avoidance algorithm with adding a compensation waypoint is proposed for the avoidance of static obstacles; and a real-time method with dynamic information of navigation status and flying control sequence is proposed for tackling dynamic obstacles. Based on the sharing obstacle avoidance information, UAVs optimize their flight paths dynamically. Simulation results show that UAVs can avoid both static and dynamic kinds of obstacles quickly and their heading angles have a good convergence effect after flying over obstacles which can save much more energy for UAVs.

Original languageEnglish
Title of host publicationInternet of Vehicles - Technologies and Services - 3rd International Conference, IOV 2016, Proceedings
EditorsChing-Hsien Hsu, Shangguang Wang, Ao Zhou, Ali Shawkat
PublisherSpringer Verlag
Pages91-103
Number of pages13
ISBN (Print)9783319519685
DOIs
Publication statusPublished - 2016 Jan 1
Event3rd International Conference Internet of Vehicles - Technologies and Services, IOV 2016 - Nadi, Fiji
Duration: 2016 Dec 72016 Dec 10

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10036 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Conference Internet of Vehicles - Technologies and Services, IOV 2016
CountryFiji
CityNadi
Period16-12-0716-12-10

Fingerprint

Unmanned aerial vehicles (UAV)
Rotor
Rotors
Obstacle Avoidance
Collision avoidance
Agriculture
Flight paths
Remote Sensing
Navigation
Sharing
Sensing
Optimise
Remote sensing
Real-time
Angle
Path
Resources
Energy
Simulation

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Xu, S., Cheng, Y., Zhou, H., Huang, C-M., & Huang, Z. (2016). An avoiding obstacles method of multi-rotor UAVs. In C-H. Hsu, S. Wang, A. Zhou, & A. Shawkat (Eds.), Internet of Vehicles - Technologies and Services - 3rd International Conference, IOV 2016, Proceedings (pp. 91-103). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10036 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-51969-2_8
Xu, Shouzhi ; Cheng, Yuan ; Zhou, Huan ; Huang, Chung-Ming ; Huang, Zhiyong. / An avoiding obstacles method of multi-rotor UAVs. Internet of Vehicles - Technologies and Services - 3rd International Conference, IOV 2016, Proceedings. editor / Ching-Hsien Hsu ; Shangguang Wang ; Ao Zhou ; Ali Shawkat. Springer Verlag, 2016. pp. 91-103 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Xu, S, Cheng, Y, Zhou, H, Huang, C-M & Huang, Z 2016, An avoiding obstacles method of multi-rotor UAVs. in C-H Hsu, S Wang, A Zhou & A Shawkat (eds), Internet of Vehicles - Technologies and Services - 3rd International Conference, IOV 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10036 LNCS, Springer Verlag, pp. 91-103, 3rd International Conference Internet of Vehicles - Technologies and Services, IOV 2016, Nadi, Fiji, 16-12-07. https://doi.org/10.1007/978-3-319-51969-2_8

An avoiding obstacles method of multi-rotor UAVs. / Xu, Shouzhi; Cheng, Yuan; Zhou, Huan; Huang, Chung-Ming; Huang, Zhiyong.

Internet of Vehicles - Technologies and Services - 3rd International Conference, IOV 2016, Proceedings. ed. / Ching-Hsien Hsu; Shangguang Wang; Ao Zhou; Ali Shawkat. Springer Verlag, 2016. p. 91-103 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10036 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - As UAVs (Unmanned Aerial Vehicle) being widely used in remote sensing of agriculture resources and many other areas, the security of UAVs flying at a low altitude is getting more and more serious. This paper studies on the problem of obstacle avoidance while the UAV cruises at low altitude for agriculture sensing. Two kinds of obstacles are taken into account. A rapid obstacle-avoidance algorithm with adding a compensation waypoint is proposed for the avoidance of static obstacles; and a real-time method with dynamic information of navigation status and flying control sequence is proposed for tackling dynamic obstacles. Based on the sharing obstacle avoidance information, UAVs optimize their flight paths dynamically. Simulation results show that UAVs can avoid both static and dynamic kinds of obstacles quickly and their heading angles have a good convergence effect after flying over obstacles which can save much more energy for UAVs.

AB - As UAVs (Unmanned Aerial Vehicle) being widely used in remote sensing of agriculture resources and many other areas, the security of UAVs flying at a low altitude is getting more and more serious. This paper studies on the problem of obstacle avoidance while the UAV cruises at low altitude for agriculture sensing. Two kinds of obstacles are taken into account. A rapid obstacle-avoidance algorithm with adding a compensation waypoint is proposed for the avoidance of static obstacles; and a real-time method with dynamic information of navigation status and flying control sequence is proposed for tackling dynamic obstacles. Based on the sharing obstacle avoidance information, UAVs optimize their flight paths dynamically. Simulation results show that UAVs can avoid both static and dynamic kinds of obstacles quickly and their heading angles have a good convergence effect after flying over obstacles which can save much more energy for UAVs.

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Xu S, Cheng Y, Zhou H, Huang C-M, Huang Z. An avoiding obstacles method of multi-rotor UAVs. In Hsu C-H, Wang S, Zhou A, Shawkat A, editors, Internet of Vehicles - Technologies and Services - 3rd International Conference, IOV 2016, Proceedings. Springer Verlag. 2016. p. 91-103. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-51969-2_8