A UAV sense and avoid system design method based on software simulation

Yang Lyu, Quan Pan, Chunhui Zhao, Changbin Yu, Jinwen Hu

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

    5 Citations (Scopus)

    Abstract

    Sense and Avoid (SAA) has been identified as one of the crucial technologies for UAV safety flight. The SAA systematic design is to develop a system with sensor configuration and SAA algorithms. Normally, the SAA system integration and test can be both expensive and dangerous without carefully system and algorithms development. In this paper, we proposed a software based SAA simulation framework for SAA system configuration and algorithms design. First, the software structure and functional submodules are described. Then the SAA function is modelled and optimization based algorithms integrating environment sensing, collision evaluation and avoidance. Simulation results and analysis are provided to validate the simulation software and algorithms. By configuring the sensors and adjusting the algorithms parameters, the software based simulation framework can act as a guidance to the development of practical SAA systems.

    Original languageEnglish
    Title of host publication2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages572-579
    Number of pages8
    ISBN (Electronic)9781467393331
    DOIs
    Publication statusPublished - 30 Jun 2016
    Event2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016 - Arlington, United States
    Duration: 7 Jun 201610 Jun 2016

    Publication series

    Name2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016

    Conference

    Conference2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016
    Country/TerritoryUnited States
    CityArlington
    Period7/06/1610/06/16

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