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@article{194096,
        author = {Pentapalli Sai Hema Nandini},
        title = {AI Car with Real-Time Detection of Damaged road and Lane Detection},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {5273-5289},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194096},
        abstract = {The field of vehicles is moving really fast and this means we need to create smart systems that can make sure vehicles are safe on the road. Things like potholes and cracks in the road well as bad lane markings are the main reasons for accidents and bad driving Normally people check the road by looking at it themselves with tools. This way is slow expensive. Cannot give us answers right away. To make this better we are suggesting a system that uses Artificial Intelligence to find road damage in time so autonomous vehicles can be safer and more efficient. This system uses a camera on the vehicle and computer vision to look at the road. The deep learning model uses the You Look Once framework to find out what is on the road like potholes and cracks and where the lane markings are so the vehicle can stay in its lane. It does this by looking at videos one frame at a time which means it can detect things fast even when it is dark or the lane lines are hard to see. Our tests show that this system is very good at finding road damage with confidence levels above 0.88 and it is also very good at finding lane markings with accuracy, between 92% and 95%. Our Artificial Intelligence system shows that we can use Artificial Intelligence, computer vision and deep learning to make road inspection which means we can take better care of our roads spend less money on maintenance and create safer and smarter transportation systems. The autonomous vehicles and road damage detection and lane detection are all parts of this. We use computer vision and deep learning and the YOLO Object Detection to make this work. The Artificial Intelligence and autonomous vehicles and road damage detection are all connected.},
        keywords = {Artificial Intelligence, Autonomous Vehicles, Road Damage Detection, Lane Detection, Computer Vision, Deep Learning, YOLO Object Detection, Real-Time Monitoring, Smart Transportation Systems.},
        month = {March},
        }