Collision detection and avoidance are critical tasks for manned and unmanned vehicles, flying drones, and robots navigating complex terrestrial and extraterrestrial geographies. In this book chapter, we review different state-of-the-art collision avoidance sensors such as Radar, LiDAR, ultrasonics, and imaging systems. We also discuss emerging bio-inspired alternatives for low-power design of collision avoidance systems. Finally, we conclude with the prospect of sensor fusion technology for collision avoidance.


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    Title :

    Collision Avoidance Systems and Emerging Bio-inspired Sensors for Autonomous Vehicles


    Contributors:

    Published in:

    Publication date :

    2022-10-28


    Size :

    21 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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