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Home / Archives / Volume-7 / Issue-3 / Article-4

Volume - 7 | Issue - 3 | september 2025

Self-Driving Car Using Image Processing Open Access
Abhishek Kumar Shukla  , Dhananjay Kumar Yadav, Prachi Singh Rajput, Sittal Bhusal, Suraj Basant Tulachan  35
Pages: 293-308
Cite this article
Shukla, Abhishek Kumar, Dhananjay Kumar Yadav, Prachi Singh Rajput, Sittal Bhusal, and Suraj Basant Tulachan. "Self-Driving Car Using Image Processing." Journal of IoT in Social, Mobile, Analytics, and Cloud 7, no. 3 (2025): 293-308
Published
07 October, 2025
Abstract

Autonomous cars represent a new mode of transportation using hardware and software to facilitate autonomous driving without human intervention. This is a design document for the creation of a low-cost autonomous vehicle prototype based on the Raspberry Pi 3 as the core processor. The system combines lane detection, traffic light identification, and traffic sign recognition into a single multi-threaded pipeline that facilitates real-time multi-task perception. Experimental testing demonstrates that the prototype attains a mean accuracy of 87%, a processing rate of 13–14 frames per second, and a mean decision time of approximately 105 ms in outdoor and indoor environments. In contrast to earlier Raspberry Pi-based prototypes that executed tasks sequentially or merely followed lanes, the system exhibits the novelty of stable multi-task perception with limited resources. The findings indicate the potential and limitations of embedded systems in autonomous navigation, with possible future applications in transportation, industrial automation, and surveillance.

Keywords

Self-Driving Car Raspberry Pi Embedded Systems Lane Detection Traffic Sign and Light Recognition

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