New Automated Vehicle Crash Avoidance System Based on Dipping and RF Techniques

Pooja T. Shetty*, R. Roopalakshmi, H. R. Manjunath, S. Pooja, M. Akshatha, K. Sijas

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In Indian population, 30% out of 48% of people use their own vehicles and rest 18% use public vehicles for travelling [1]. Most of the accidents occur at night due to the dazzling of headlights and high beams of upfront vehicles. High-beam lights blind drivers for a couple of seconds, which is the main cause for accidents nowadays. The concave mirror present at the side windows also misguides about the speed of the succeeding vehicles, since the image position is not directly proportional to the position of the object with respect to the mirror. If vehicle to vehicle communication is used in a widespread manner, and used by law enforcement officials, it can reduces the number of accidents. The existing literature fails to achieve higher accuracy despite of using large number of hardware. To overcome these drawbacks, this paper proposes a new automated headlight dipping system and vehicle to vehicle communication using RF module, which attempts to achieve better accuracy than the existing systems.

Original languageEnglish
Title of host publicationLecture Notes on Data Engineering and Communications Technologies
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1565-1572
Number of pages8
DOIs
Publication statusPublished - 2019

Publication series

NameLecture Notes on Data Engineering and Communications Technologies
Volume26
ISSN (Print)2367-4512
ISSN (Electronic)2367-4520

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Media Technology
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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