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@article{179463,
        author = {S. Shiva Shanker Prasad and S. Vivek Vardan and S. Rakesh Reddy and P. Abhiram Sharma and Mr. T Raghavendra Gupta},
        title = {Powered Obstacle Avoidance with Bluetooth-Controlled Navigation in Automated Vehicles Using Raspberry Pi},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {6487-6495},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179463},
        abstract = {One of the critical challenges in automated vehicle technology has always been reliable obstacle detection and avoidance. Initially, systems relied heavily on basic sensor technologies like infrared and simple ultrasonic sensors, which provided limited detection capabilities. As the demand for safer and more reliable automated vehicles grew, the industry saw the integration of more advanced technologies, including LiDAR, radar, and high-resolution cameras. However, these solutions often came with high costs, making them less accessible for widespread use. In response to the need for cost-effective yet reliable obstacle avoidance systems, recent innovations have focused on integrating affordable and efficient components like the Raspberry Pi and ultrasonic sensors. These systems, while initially simple, have been progressively enhanced to include additional sensors, such as metal detectors and cameras, to provide a more comprehensive detection capability. Moreover, the incorporation of Bluetooth technology has allowed for more seamless user interaction, particularly through smartphone applications, further increasing the usability and flexibility of these systems. In the advanced version of this system, additional features are being incorporated to further enhance detection capabilities and overall performance. These enhancements include the integration of a metal detector and a camera, which will provide more comprehensive detection and improve the system’s ability to navigate complex environments. These improvements aim to ensure robust obstacle avoidance, making automated vehicles safer and more reliable.},
        keywords = {Arduino UNO, Bluetooth, Motor driver, Ultrasonic sensor, servo motor driver, SD card, Obstacle detection, camera.},
        month = {May},
        }