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Motion Prediction for Autonomous Vehicles

Sabbisetti Sri Sai Keerthi, Sankar Ganesh S, Jonnagadla Bhava Samhitha
Department in Electronics and Communication Engineering Vellore Institute of Technology

Vellore,Tamilnadu,India

Abstract—The advent of autonomous vehicles is poised to revolutionize the transportation industry across the globe. How- ever, developing self-driving cars comes with various technical hurdles that need to be addressed. One major challenge is creating accurate models that can predict the movements of traffic participants such as pedestrians, cyclists, and other cars around the self-driving cars. The purpose of this research is to assess the effectiveness of different deep learning models in predicting such movements by evaluating their root mean square error score. These deep learning models leverage the current state of the surrounding environment to forecast the motion of traffic agents.

Index Terms——Autonomous Vehicles (AV), Deep Learning (DL), Artificial Intelligence (AI)