Abstract: Every year, it is estimated that 1.25 million people die in road accidents around the world. Humans' failure to heed road signs and obey the law is a significant cause of accidents. To avoid this issue, a signboard detection system has been implemented. This device would be useful in identifying unique domains such as classrooms, traffic signals, colleges, hospitals, offices, and so on, as well as potentially saving many lives. The creation of a low-cost prototype of a miniature self-driving car model using easy and readily available technologies is presented in this paper. To achieve vehicle automation, the Raspberry Pi controller and H-bridge drive two DC motors in this prototype. Intelligent systems have used technologies such as sonar sensors, image processing, computer vision, and machine learning. To solve the problem, we propose implementing a self-driving vehicle that employs a pattern matching technique.

Keywords: Raspberry Pi, Lane detection, Traffic light detection.

PDF | DOI: 10.17148/IJARCCE.2021.10426

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