Kalman filtered GPS accelerometerbased accident detection and location system

A low-cost approach

Md Syedul Amin, Md. Mamun Ibne Reaz, Mohammad Arif Sobhan Bhuiyan, Salwa Sheikh Nasir

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

A low-cost accident detection system utilizing cheap ADXL345 accelerometers and GPS receiver is proposed in this communication. The accident detection algorithm was developed based on sudden deceleration. The double integration of the acceleration and heading from the tilt angles of accelerometers were used to determine the location. Kalman filter was utilized to correct the accumulated double integration errors with the trusted GPS data. The field tests demonstrated the correct functioning of the accident detection algorithm and location. The proposed lowcost system can save many lives by the automated accident detection and accurate location even during GPS outage.

Original languageEnglish
Pages (from-to)1548-1554
Number of pages7
JournalCurrent Science
Volume106
Issue number11
Publication statusPublished - 2014

Fingerprint

Global positioning system
Accidents
Accelerometers
Costs
Deceleration
Outages
Kalman filters
Communication

Keywords

  • Accelerometer
  • Accident detection
  • GPS recovers
  • Kalman filter

ASJC Scopus subject areas

  • General

Cite this

Kalman filtered GPS accelerometerbased accident detection and location system : A low-cost approach. / Amin, Md Syedul; Ibne Reaz, Md. Mamun; Bhuiyan, Mohammad Arif Sobhan; Nasir, Salwa Sheikh.

In: Current Science, Vol. 106, No. 11, 2014, p. 1548-1554.

Research output: Contribution to journalArticle

Amin, Md Syedul ; Ibne Reaz, Md. Mamun ; Bhuiyan, Mohammad Arif Sobhan ; Nasir, Salwa Sheikh. / Kalman filtered GPS accelerometerbased accident detection and location system : A low-cost approach. In: Current Science. 2014 ; Vol. 106, No. 11. pp. 1548-1554.
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