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@article{164908,
        author = {Mayur Uddhav Patil and PROF. V.S.MAHAJAN and NIRAJ PRADIP PATL and MANISH RAGHUNATH PATIL and YASH CHETAN PATIL},
        title = {Detection Of Lane And Speed Breaker Using Machine  Learning Algorithm  },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {1751-1754},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164908},
        abstract = {With the rapid advancement of autonomous vehicle technologies, ensuring the safety of these vehicles on roads has become a paramount concern. One of the critical aspects of safe autonomous driving is the accurate detection of lanes and potential road hazards, such as speed breakers. In this study, we propose a Lane and Speed Breaker Warning System (LSBWS) that employs machine learning algorithms to enhance the perception capabilities of autonomous vehicles. The LSBWS utilizes a combination of computer vision and machine learning techniques to detect and analyse road lanes and speed breakers in real-time. The system utilizes a camera sensor to capture the road scene ahead and then employs image processing algorithms to identify lane markings and speed breakers. A convolutional neural network (CNN) is employed to accurately detect and classify these features within the captured images. Keywords: Lane detection, Speed breaker detection, Autonomous vehicles, Machine learning algorithms, Convolutional neural network, Road safety  },
        keywords = {Autonomous Vehicles, Lane Detection, Speed Breaker Warning, Machine Learning, Convolutional Neural Network, Computer Vision, Road Safety.  },
        month = {},
        }