Object Detection for Autonomous Driving using YOLO algorithm

In this paper, we have presented the work that we have done pertaining to object detection for the purpose of aiding autonomous vehicles during navigation. The detections are carried out using the state-of-the-art YOLO model which is trained on a custom-made model on a custom-made dataset. The main objective of this paper is to highlight the building of the model on low-cost computing resources. After training, we have implemented the model on video data as well as on web camera.