Low cost GPS/IMU integrated accident detection and location system

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

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Background/Objectives: Emergency Rescue Service could save many lives if the accident location could be intimated automatically. Accident location is generally acquired from Global Positioning System (GPS). However, location cannot be determined during GPS outage. Methods/Statistical Analysis: This paper proposes an accident detection system by determining the deceleration from the accelerometers of a low cost Micro Electro Mechanical Systems (MEMS) based Inertial Measurement Unit (IMU). The three axes accelerometers, gyroscopes and magnetometers data of the IMU were also programmed as Attitude Heading Reference System (AHRS) to determine the orientation and the position of the vehicle during a GPS outage. Errors in positional information were corrected by a Kalman filter during the availability of GPS. A communication module was programmed to send the accident data to the base station in real time. Findings: The test result showed the correct accident detection. The accident location module also determined the correct accident location in GPS outage condition and sent the accident location information to the base station. Application/Improvements: The system will save many lives by sending the automatic accident location to Emergency Rescue Service center.

Original languageEnglish
Article number80221
JournalIndian Journal of Science and Technology
Volume9
Issue number10
DOIs
Publication statusPublished - 1 Mar 2016

Fingerprint

Units of measurement
Global positioning system
Accidents
Costs
Outages
Accelerometers
Base stations
Gyroscopes
Deceleration
Magnetometers
Kalman filters
Statistical methods
Availability
Communication

Keywords

  • Accident
  • GPS
  • IMU
  • Location
  • MEMS

ASJC Scopus subject areas

  • General

Cite this

Low cost GPS/IMU integrated accident detection and location system. / Amin, Md Syedul; Ibne Reaz, Md. Mamun; Nasir, Salwa Sheikh; Bhuiyan, Mohammad Arif Sobhan.

In: Indian Journal of Science and Technology, Vol. 9, No. 10, 80221, 01.03.2016.

Research output: Contribution to journalArticle

Amin, Md Syedul ; Ibne Reaz, Md. Mamun ; Nasir, Salwa Sheikh ; Bhuiyan, Mohammad Arif Sobhan. / Low cost GPS/IMU integrated accident detection and location system. In: Indian Journal of Science and Technology. 2016 ; Vol. 9, No. 10.
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