Path Planning For Autonomous Car
P Shruthi, Reghu Resmi · 2019
The autonomous cars will transform the lifestyle of people by creating an efficient way of driving on roads. The ability to detect and track the stationary or the moving objects is said to be one of the major challenging tasks for decades. The research on object detection seems to be looking for a longterm vision in autonomous cars so that there is a significant enhancement in safety. The object detection is necessary for both day and night facilitating smooth transportation. In this paper, we are analyzing the images. The images classification algorithms are used such as a convolutional neural network (CNN). The algorithms will later be implemented on the graphical processing unit which will lead to the steering of the automobile based on the study of image recognition.