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@article{170170,
        author = {Anvitha Mandala and Anvitha balerao and Ankith sharma and Pk Anusha and Y sri Lohith and Ragipati karthik},
        title = {Adaptive cruise control},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {3672-3675},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170170},
        abstract = {This project focuses on the development of an Adaptive Cruise Control (ACC) system that utilizes Internet of Things (IoT) technology to enhance vehicle safety and driving efficiency. The ACC system integrates multiple sensor types, including camera, infrared, and ultrasonic sensors. The camera sensor provides real-time visual data for lane detection and surrounding vehicle identification. Infrared sensors measure the distance and speed of vehicles ahead, even in low-light conditions, ensuring reliable performance. Ultrasonic sensors further assist by detecting close-range obstacles and proximity to other vehicles. By processing data from these sensors through IoT connectivity, the ACC system dynamically adjusts the vehicle’s speed to maintain a safe distance from obstacles and other vehicles, thereby optimizing driving comfort and safety. This integration of advanced sensors and IoT aims to create a responsive and effective driving assistance system that improves overall road safety and driving efficiency.},
        keywords = {Adaptive Cruise Control System, Ultrasonic Sensor, Infrared Sensor, Camera Sensor, Lane Detection, Obstacle Detection, Road safety.},
        month = {December},
        }