Integrated vehicle accident detection and location system

Syedul Amin, Md. Mamun Ibne Reaz, Salwa Sheikh Nasir

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Many accident victim lives could have been saved if vehicle accident information could be intimated to an evergencey rescue center automatically. This paper proposes an accident detection and location system by determining the deceleration and data fusion from accelerometers and GPS. The bias, drift and noise errors of accelerometers and GPS outage limitation are overcome by integrating with Kalman filter. The test result shows the correct deceleration for accident detection and location. The proposed system will be able to overcome the limitations of GPS/IMU and save valuable human lives.

Original languageEnglish
Pages (from-to)73-78
Number of pages6
JournalTelkomnika (Telecommunication Computing Electronics and Control)
Volume12
Issue number1
DOIs
Publication statusPublished - 2014

Fingerprint

Accidents
Global positioning system
Deceleration
Accelerometers
Data fusion
Outages
Kalman filters

Keywords

  • Accident
  • GPS
  • IMU
  • MEMS
  • Navigation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Integrated vehicle accident detection and location system. / Amin, Syedul; Ibne Reaz, Md. Mamun; Nasir, Salwa Sheikh.

In: Telkomnika (Telecommunication Computing Electronics and Control), Vol. 12, No. 1, 2014, p. 73-78.

Research output: Contribution to journalArticle

@article{a77b3c8371684499afa6e10eb19d903e,
title = "Integrated vehicle accident detection and location system",
abstract = "Many accident victim lives could have been saved if vehicle accident information could be intimated to an evergencey rescue center automatically. This paper proposes an accident detection and location system by determining the deceleration and data fusion from accelerometers and GPS. The bias, drift and noise errors of accelerometers and GPS outage limitation are overcome by integrating with Kalman filter. The test result shows the correct deceleration for accident detection and location. The proposed system will be able to overcome the limitations of GPS/IMU and save valuable human lives.",
keywords = "Accident, GPS, IMU, MEMS, Navigation",
author = "Syedul Amin and {Ibne Reaz}, {Md. Mamun} and Nasir, {Salwa Sheikh}",
year = "2014",
doi = "10.12928/TELKOMNIKA.v12i1.1787",
language = "English",
volume = "12",
pages = "73--78",
journal = "Telkomnika",
issn = "1693-6930",
publisher = "Institute of Advanced Engineering and Science (IAES)",
number = "1",

}

TY - JOUR

T1 - Integrated vehicle accident detection and location system

AU - Amin, Syedul

AU - Ibne Reaz, Md. Mamun

AU - Nasir, Salwa Sheikh

PY - 2014

Y1 - 2014

N2 - Many accident victim lives could have been saved if vehicle accident information could be intimated to an evergencey rescue center automatically. This paper proposes an accident detection and location system by determining the deceleration and data fusion from accelerometers and GPS. The bias, drift and noise errors of accelerometers and GPS outage limitation are overcome by integrating with Kalman filter. The test result shows the correct deceleration for accident detection and location. The proposed system will be able to overcome the limitations of GPS/IMU and save valuable human lives.

AB - Many accident victim lives could have been saved if vehicle accident information could be intimated to an evergencey rescue center automatically. This paper proposes an accident detection and location system by determining the deceleration and data fusion from accelerometers and GPS. The bias, drift and noise errors of accelerometers and GPS outage limitation are overcome by integrating with Kalman filter. The test result shows the correct deceleration for accident detection and location. The proposed system will be able to overcome the limitations of GPS/IMU and save valuable human lives.

KW - Accident

KW - GPS

KW - IMU

KW - MEMS

KW - Navigation

UR - http://www.scopus.com/inward/record.url?scp=84904599208&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84904599208&partnerID=8YFLogxK

U2 - 10.12928/TELKOMNIKA.v12i1.1787

DO - 10.12928/TELKOMNIKA.v12i1.1787

M3 - Article

AN - SCOPUS:84904599208

VL - 12

SP - 73

EP - 78

JO - Telkomnika

JF - Telkomnika

SN - 1693-6930

IS - 1

ER -