Behavior Estimation of Subsequent Vehicle Using Machine Learning Tool

Abstract

Autonomous vehicles are the outcome of the industrial revolution. The autonomous vehicles assure transportation of the human and goods with partial or no human intervention. Modern Advanced Driver Assistance System (ADAS) is the one of the examples of the autonomous vehicles. In such type of vehicles, since there is partial or no human intervention the success highly depends on the precise sensing of the different obstacles on the pathway. This research work is an attempt to design a system for behavior analysis of the subsequent vehicle on the pathway using advanced machine learning tools.