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Prototype of a Line Follower Smart Car Using the A* Algorithm Approach for Shortest Path Finding

Year: 2025

Type: article

Abstract: This study aims to design and build a prototype of a smart car designed to operate independently in detecting and following paths. This prototype utilizes image processing technology, specifically OpenCV, to recognize predetermined paths, enabling the car to move efficiently without human intervention. As the brain of the system, an ESP32 microcontroller is used to regulate movement and decision-making based on the results of image processing. In addition, this study also implements the A* algorithm for finding the closest route, which allows smart cars to calculate distances and determine optimal paths by considering various intersections and alternative routes. Testing was conducted on a simulated environment consisting of 9 nodes. The A* algorithm successfully calculated the optimal route A-B-D-F-H-I, with a total travel distance of 118 cm and a total heuristic of 1,122.7710081. The results of this study show that the prototype demonstrated sTable and responsive behaviour in detecting and following the path without human assistance.

Source: Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi

DOI: 10.25139/inform.v10i2.10508

Authors: Luthfie Budie, Armansyah Armansyah, Mohammad Haziq Afiq Bin Haji Mohammad

Institutions: North Sumatra Islamic University, Universitas Islam Negeri Sumatera Utara

Language: English

Topic: Arduino and IoT Applications

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4413739617

FWCI:

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