Skip to main navigation Skip to search Skip to main content

Sense and collision avoidance of Unmanned Aerial Vehicles using geometric guidance and flatness approaches

  • Yu Fu
  • , Puthy Soupin
  • , Xiang Yu
  • , Youmin Zhang*
  • , Phil Cole
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper describes the development of a Sense and Avoid (S&A) algorithm that can ensure an Unmanned Aerial Vehicle (UAV) being able to avoid collisions autonomously. Firstly, the Closest Point of Approach (CPA) can predict the conflict. Secondly, the developed path planner generates the feasible path using differential geometric guidance and flatness techniques, where the constraints of UAV dynamics are considered.

Original languageEnglish
Title of host publication2015 International Conference on Unmanned Aircraft Systems, ICUAS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages601-606
Number of pages6
ISBN (Electronic)9781479960101
DOIs
StatePublished - 7 Jul 2015
Externally publishedYes
Event2015 International Conference on Unmanned Aircraft Systems, ICUAS 2015 - Denver, United States
Duration: 9 Jun 201512 Jun 2015

Publication series

Name2015 International Conference on Unmanned Aircraft Systems, ICUAS 2015

Conference

Conference2015 International Conference on Unmanned Aircraft Systems, ICUAS 2015
Country/TerritoryUnited States
CityDenver
Period9/06/1512/06/15

Keywords

  • CPA
  • Differential geometric guidance
  • Flatness
  • Sense and avoid
  • UAV

Fingerprint

Dive into the research topics of 'Sense and collision avoidance of Unmanned Aerial Vehicles using geometric guidance and flatness approaches'. Together they form a unique fingerprint.

Cite this