Prediction of traffic movement for autonomous vehicles

Living in the twenty-first century, there has been a massive growth in the number of autonomous vehicles present on the streets. Technology which once seemed impossible is being used in increasing number of vehicles day-by-day. With the technical advancement also comes challenges, it is not at all easy to develop and safely deploy these self-driving vehicles. So, in this chapter, a particular problem is being tackled, which is to predict future coordinates of all agents like cars, pedestrians, cyclists, etc., around AV. The main motive of this particular chapter is to measure the result efficiency of different deep learning models by evaluating the root mean square error (MSE) score. The models take as input the present state of the surroundings and based on that predicts the movement of the agents.