This study focuses on the development of a quadrotor research platform with effective obstacle avoidance system using Bug Algorithm. The quadrotor system consist of a DJI frame with a Crius All-in-One Pro as a flight controller with an Arduino Mega2560 to process the data from the sensor. It is also equipped with four ultrasonic range finders to provide the sensing for collision avoidance. Bug Algorithm was chosen due to its simplicity and effectiveness in implementation of obstacle avoidance applications. The results shows that the quadrotor system is able to perform basic flight maneuvers and that the collision avoidance system was able to protect the quadrotor from hitting objects in its environment.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Quadrotor Research Platform with Obstacle Avoidance



    Erschienen in:

    Erscheinungsdatum :

    22.06.2016


    Format / Umfang :

    5 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Laser-Guided Quadrotor Obstacle Avoidance

    Stubblebine, Andrew / Feie, Brian / Redmond, Brennan et al. | AIAA | 2015


    Obstacle Avoidance System for a Quadrotor UAV

    Wagster, Joseph / Rose, Matthew / Yaralian, Hovig et al. | AIAA | 2012


    Laser-Guided Quadrotor Obstacle Avoidance (AIAA 2015-2026)

    Stubblebine, Andrew / Feie, Brian / Redmond, Brennan et al. | British Library Conference Proceedings | 2015


    2012-2548 Obstacle Avoidance System for a Quadrotor UAV

    Wagster, J. / Rose, M. / Yaralian, H. et al. | British Library Conference Proceedings | 2012


    Obstacle Avoidance-Based Autonomous Navigation of a Quadrotor System

    Mohammed A. Alanezi / Zaharuddeen Haruna / Yusuf A. Sha’aban et al. | DOAJ | 2022

    Freier Zugriff