Computer vision is an essential part of the modular design methodology for building autonomous vehicles and robots. It provides two essential functions: localization, which answers the question of where I am, and perception, which answers the question of what is around me. This chapter reviews the details of computer vision technologies. It begins with computer vision hardware design and introduces the challenges of building computer vision hardware. The chapter then introduces the concept of calibration and delves into a few calibration techniques. Next, it explains how a person can use computer vision for localization and how he/she can use computer vision for perception. The chapter also presents a case study of PerceptIn's DragonFly computer vision module. The chapter helps readers to understand how to use computer vision technologies in their autonomous vehicle and robot designs, as well as how to combine computer vision and other sensors to achieve better localization and perception results.


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    Titel :

    Computer Vision for Perception and Localization


    Beteiligte:
    Liu, Shaoshan (Autor:in)


    Erscheinungsdatum :

    2020-04-13


    Format / Umfang :

    20 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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