Congestion on the roads slows down the distribution of goods, which is essential for the rapid development of an economy. Additional workforce is required to track the delivery van’s trip for its entire duration and the unexpected presence of a pedestrian or animal in the roadway often results in a fatal accident. This chapter presents a self-driving vehicle to overcome the drawbacks, equipped with the sensors and computing power to find its way around public highways. It also reports its precise location in real time to authorities through a map and functions with little more than its own internal systems and algorithms. The vehicle may reach its destination without any interference from the driver, eliminating the possibility of human error. A hardware prototype of the proposed autonomous vehicle with a Raspberry Pi 3 processor and a web camera is implemented. Since the GPS system transmits live data on the location, Open CV analyzes these frames to determine which lane the automobile is in and which traffic signs should be followed.


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    Titel :

    Autonomous Delivery Vehicle Using Raspberry Pi and Computer Vision


    Weitere Titelangaben:

    Algorithms for Intelligent Systems


    Beteiligte:
    Yadav, Anupam (Herausgeber:in) / Nanda, Satyasai Jagannath (Herausgeber:in) / Lim, Meng-Hiot (Herausgeber:in) / Ravindran, Vijay (Autor:in) / Chandrika, S. (Autor:in) / Ponraj, Ram Prakash (Autor:in) / Krishnakumar, C. (Autor:in) / Devadharshini, S. (Autor:in) / Lakshmi, S. (Autor:in)

    Kongress:

    International Conference on Paradigms of Communication, Computing and Data Analytics ; 2023 ; Delhi, India April 22, 2023 - April 23, 2023



    Erscheinungsdatum :

    11.10.2023


    Format / Umfang :

    13 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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