Unmanned Aerial Vehicle (UAV) has received wide interest in recent years because of their promising potentials for several applications that include border surveillance, intrusion, detection, emergent item delivery, wildlife monitoring, rescue operations etc. The growing number of entrances of drones into airspace has emerged a significant interest in the collision and obstacle avoidance in autonomous operation. One of major challenges for safer deployment of UAVs is collision avoidance in order to make UAVs autonomous and self-sustainable. In today’s technological era, it is possible for UAVs to avoid obstacles and prevent collisions while navigation by implementing cutting edge computer vision algorithms and visual tracking systems. But it is challenging due to the limited payload in UAV that only permits vision based sensors such as camera, inertial measurement unit such for control and obstacle detection. This paper aims to summarize existing solutions of collision avoidance strategies used in the navigation of UAV. Collision avoidance strategies based on geometry, optimization, sense and avoid, vision-based and force field based methods are investigated in this study.


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    Title :

    A Summarization of Collision Avoidance Techniques for Autonomous Navigation of UAV


    Additional title:

    Lecture Notes in Civil Engineering


    Contributors:
    Jain, Kamal (editor) / Khoshelham, Kourosh (editor) / Zhu, Xuan (editor) / Tiwari, Anuj (editor) / Payal (author) / Akashdeep (author) / Raman Singh, C. (author)

    Conference:

    International Conference on Unmanned Aerial System in Geomatics ; 2019 ; Roorkee, India April 06, 2019 - April 07, 2019


    Published in:

    Proceedings of UASG 2019 ; Chapter : 32 ; 393-401


    Publication date :

    2020-02-23


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English






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