Abstract: In our dynamic and ever-changing world driven by relentless technological progress, the forefront of innovation shines a spotlight on the concept of autonomous vehicles powered by the Internet of Things (IOT). These vehicles are a remarkable fusion of cutting-edge technology and artificial intelligence. At their core, they utilize essential components to fuel their intelligence and capabilities. The central processing unit is managed by the Raspberry Pi, which processes data from an array of sensors and cameras. Meanwhile, the Arduino Uno takes control of motor functions, interpreting commands and guiding the vehicle's movements. Motor drivers play a crucial role in ensuring precise control over speed and direction. Furthermore, the inclusion of OpenCV, an Open Source Computer Vision Library, equips these vehicles with the ability to interpret the visual data they gather
Keywords: Autonomous Vehicle, Raspberry Pi, Arduino UNO.
Cite:
Prof. Nilam Honmane, Aniket Vadar, Zahir Mulla, Sarthak Samgir, Aditya Rakate,"Obstacle Detection And Avoidance In Autonomous Cars", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 11, pp. 148-155, 2023, Crossref https://doi.org/10.17148/IJARCCE.2023.121121.
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DOI:
10.17148/IJARCCE.2023.121121
