Framework for Training Speed Sign Detection Vehicle Using Yolo Algorithm for Detection Purposes of Autonomous Self Driving Cars

In 21’st century we have witnessed a vast development in the field of Autonomous Self driving cars and automation in various auto industries. It is not far when we can see fully self-driving cars traveling from destination A to destination B without any human interference, and we can have a gist of that when Elon Musk introduced the first semi-autonomous TESLA vehicle. In this ever-fast-growing autonomous industry, we have tried to contribute to this industry by integrating OpenCV with python to test our first autonomous model in the CARLA environment which will detect speed signs and control the speed of the vehicle accordingly. We will use the YOLO object detection algorithm for the purpose of Speed sign detection and train our model on the same, we have gathered various images of Speed signs from the CARLA environment which will be used as a strong dataset for the training purpose.