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@article{179494,
        author = {Patel Muhammad and Amar Kumar and Ganesh and Rishabh Singh and Dr. Gousia Thaniyath},
        title = {ADVANCED AUTONOMOUS VEHICLE SYSTEM USING BEHAVIOUR CLONING FOR PATH OPTIMISATION},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {7601-7606},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179494},
        abstract = {This paper presents an autonomous driving system developed using computer vision techniques and AI algorithms. The system focuses on real-time lane detection and path planning by leveraging image processing, convolutional neural networks (CNNs), and behavior cloning to mimic human driving behavior. The methodology includes data acquisition using the Udacity self-driving car simulator, preprocessing of captured images, training a CNN model, and testing in a simulated environment. The system's performance is evaluated based on its ability to navigate autonomously in various simulated road scenarios, demonstrating lane-keeping accuracy and effective replication of human driving behavior. The project's industry relevance lies in its cost-efficient, camera-only approach, making it adaptable for ADAS, robotics, and smart mobility solutions.},
        keywords = {},
        month = {May},
        }