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@article{160343,
        author = {Riya Manoj and Anand C A and Ansu Mars Puthettu and Muhamed Abdul Rehman and Dr. Sherley K K},
        title = {Autonomous Car for Indian Conditions},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {1},
        pages = {861-868},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=160343},
        abstract = {— Self-driving cars are vehicles that perceive their surroundings and manoeuvre without the assistance of a driver. This is a high-research area in computer vision that covers many sub-topics and requires in-depth analysis. In order to do this, our study examines the hardware and software elements of a self-driving automobile, utilising Deep Learning technologies such as Convolution Neural Networks, the YOLO algorithm, Hough Transform Algorithms and the Canny Edge Detection algorithm. The modules used are perception, localization, mapping, vehicle path planning,vehicle control.This paper reasons some of the problems in the existing technology and provides a few solutions that can be taken to handle it.},
        keywords = {Convolution neural networks, self-driving car, object detection, traffic sign detection, lane detection},
        month = {},
        }