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  • Open Access

    ARTICLE

    An Embedded Computer Vision Approach to Environment Modeling and Local Path Planning in Autonomous Mobile Robots

    Rıdvan Yayla, Hakan Üçgün*, Onur Ali Korkmaz

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 4055-4087, 2025, DOI:10.32604/cmes.2025.072703 - 23 December 2025

    Abstract Recent advancements in autonomous vehicle technologies are transforming intelligent transportation systems. Artificial intelligence enables real-time sensing, decision-making, and control on embedded platforms with improved efficiency. This study presents the design and implementation of an autonomous radio-controlled (RC) vehicle prototype capable of lane line detection, obstacle avoidance, and navigation through dynamic path planning. The system integrates image processing and ultrasonic sensing, utilizing Raspberry Pi for vision-based tasks and Arduino Nano for real-time control. Lane line detection is achieved through conventional image processing techniques, providing the basis for local path generation, while traffic sign classification employs a… More > Graphic Abstract

    An Embedded Computer Vision Approach to Environment Modeling and Local Path Planning in Autonomous Mobile Robots

  • Open Access

    ARTICLE

    Novel Algorithm for Mobile Robot Path Planning in Constrained Environment

    Aisha Muhammad1,5, Mohammed A. H. Ali2,*, Sherzod Turaev3, Ibrahim Haruna Shanono4,5, Fadhl Hujainah6, Mohd Nashrul Mohd Zubir2, Muhammad Khairi Faiz2, Erma Rahayu Mohd Faizal1, Rawad Abdulghafor8

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2697-2719, 2022, DOI:10.32604/cmc.2022.020873 - 07 December 2021

    Abstract This paper presents a development of a novel path planning algorithm, called Generalized Laser simulator (GLS), for solving the mobile robot path planning problem in a two-dimensional map with the presence of constraints. This approach gives the possibility to find the path for a wheel mobile robot considering some constraints during the robot movement in both known and unknown environments. The feasible path is determined between the start and goal positions by generating wave of points in all direction towards the goal point with adhering to constraints. In simulation, the proposed method has been tested… More >

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