Inter-Vehicular Communication for Intelligent Collision Avoidance Using Machine Learning: An Overview

Abstract

Following the inconsistencies encountered on the Indian terrain, the concept of autonomous vehicles has practically vanished from the Indian market. One major cause for the failure of self-driven vehicles in India is the collision occurring due to some common factors including poor lane-markings, deficiency of sign-boards, and most importantly – violation of traffic-rules by human drivers. Apart from the lack of markings, the lack of traffic-sense in human drivers is a major threat to autonomous driving in India; as no machine is capable enough to respond to the fluctuating mindset of a human being. In order to combat this challenge, a novel approach is presented that relies on the inter-vehicular communication strategy for avoiding critical collisions on the Indian roads. A unique application of machine learning technology to collision avoidance is outlined within this work.