Attitude Heading Reference System based vehicle stationary state detection

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Vehicle navigation is a crucial requirement for many applications. Global Positioning System (GPS) can provide accurate navigation information. But the GPS performance degrades and even a complete outage may occur in urban areas due to line of sight problem. Inertial Navigation System (INS) can provide navigation information during a GPS outage. However, due to bias, drift, noise and other errors, the position information quickly diverges which is more sever for low cost INS. These errors can be corrected in a stationary state. Detecting the stationary state to correct the INS error is crucial for navigation system. This paper proposes a novel stationary detection technique by the threshold approach with an Attitude Heading Reference System (AHRS) built from the Inertial Measurement Unit (IMU) sensors and acceleration information. The stationary state is detected from variance of the acceleration data and the heading of the vehicle. The test result shows that the 87% correct stationary state is detected from both the acceleration and heading information. The stationary state detection can help to correct the INS errors.

Original languageEnglish
Title of host publication1st International Conference on Electrical Engineering and Information and Communication Technology, ICEEICT 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479948192
DOIs
Publication statusPublished - 8 Oct 2014
Event1st International Conference on Electrical Engineering and Information and Communication Technology, ICEEICT 2014 - Dhaka
Duration: 10 Apr 201412 Apr 2014

Other

Other1st International Conference on Electrical Engineering and Information and Communication Technology, ICEEICT 2014
CityDhaka
Period10/4/1412/4/14

Fingerprint

Inertial navigation systems
Global positioning system
Navigation
Outages
Units of measurement
Navigation systems
Sensors
Costs

Keywords

  • AHRS
  • GPS
  • INS
  • navigatyion
  • ZUPT

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Amin, M. S., Ibne Reaz, M. M., Nasir, S. S., & Bhuiyan, M. A. S. (2014). Attitude Heading Reference System based vehicle stationary state detection. In 1st International Conference on Electrical Engineering and Information and Communication Technology, ICEEICT 2014 [6919141] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEEICT.2014.6919141

Attitude Heading Reference System based vehicle stationary state detection. / Amin, Md Syedul; Ibne Reaz, Md. Mamun; Nasir, Salwa Sheikh; Bhuiyan, Mohammad Arif Sobhan.

1st International Conference on Electrical Engineering and Information and Communication Technology, ICEEICT 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 6919141.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Amin, MS, Ibne Reaz, MM, Nasir, SS & Bhuiyan, MAS 2014, Attitude Heading Reference System based vehicle stationary state detection. in 1st International Conference on Electrical Engineering and Information and Communication Technology, ICEEICT 2014., 6919141, Institute of Electrical and Electronics Engineers Inc., 1st International Conference on Electrical Engineering and Information and Communication Technology, ICEEICT 2014, Dhaka, 10/4/14. https://doi.org/10.1109/ICEEICT.2014.6919141
Amin MS, Ibne Reaz MM, Nasir SS, Bhuiyan MAS. Attitude Heading Reference System based vehicle stationary state detection. In 1st International Conference on Electrical Engineering and Information and Communication Technology, ICEEICT 2014. Institute of Electrical and Electronics Engineers Inc. 2014. 6919141 https://doi.org/10.1109/ICEEICT.2014.6919141
Amin, Md Syedul ; Ibne Reaz, Md. Mamun ; Nasir, Salwa Sheikh ; Bhuiyan, Mohammad Arif Sobhan. / Attitude Heading Reference System based vehicle stationary state detection. 1st International Conference on Electrical Engineering and Information and Communication Technology, ICEEICT 2014. Institute of Electrical and Electronics Engineers Inc., 2014.
@inproceedings{d9db4543fc4b4395826ab93ee84d588d,
title = "Attitude Heading Reference System based vehicle stationary state detection",
abstract = "Vehicle navigation is a crucial requirement for many applications. Global Positioning System (GPS) can provide accurate navigation information. But the GPS performance degrades and even a complete outage may occur in urban areas due to line of sight problem. Inertial Navigation System (INS) can provide navigation information during a GPS outage. However, due to bias, drift, noise and other errors, the position information quickly diverges which is more sever for low cost INS. These errors can be corrected in a stationary state. Detecting the stationary state to correct the INS error is crucial for navigation system. This paper proposes a novel stationary detection technique by the threshold approach with an Attitude Heading Reference System (AHRS) built from the Inertial Measurement Unit (IMU) sensors and acceleration information. The stationary state is detected from variance of the acceleration data and the heading of the vehicle. The test result shows that the 87{\%} correct stationary state is detected from both the acceleration and heading information. The stationary state detection can help to correct the INS errors.",
keywords = "AHRS, GPS, INS, navigatyion, ZUPT",
author = "Amin, {Md Syedul} and {Ibne Reaz}, {Md. Mamun} and Nasir, {Salwa Sheikh} and Bhuiyan, {Mohammad Arif Sobhan}",
year = "2014",
month = "10",
day = "8",
doi = "10.1109/ICEEICT.2014.6919141",
language = "English",
isbn = "9781479948192",
booktitle = "1st International Conference on Electrical Engineering and Information and Communication Technology, ICEEICT 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Attitude Heading Reference System based vehicle stationary state detection

AU - Amin, Md Syedul

AU - Ibne Reaz, Md. Mamun

AU - Nasir, Salwa Sheikh

AU - Bhuiyan, Mohammad Arif Sobhan

PY - 2014/10/8

Y1 - 2014/10/8

N2 - Vehicle navigation is a crucial requirement for many applications. Global Positioning System (GPS) can provide accurate navigation information. But the GPS performance degrades and even a complete outage may occur in urban areas due to line of sight problem. Inertial Navigation System (INS) can provide navigation information during a GPS outage. However, due to bias, drift, noise and other errors, the position information quickly diverges which is more sever for low cost INS. These errors can be corrected in a stationary state. Detecting the stationary state to correct the INS error is crucial for navigation system. This paper proposes a novel stationary detection technique by the threshold approach with an Attitude Heading Reference System (AHRS) built from the Inertial Measurement Unit (IMU) sensors and acceleration information. The stationary state is detected from variance of the acceleration data and the heading of the vehicle. The test result shows that the 87% correct stationary state is detected from both the acceleration and heading information. The stationary state detection can help to correct the INS errors.

AB - Vehicle navigation is a crucial requirement for many applications. Global Positioning System (GPS) can provide accurate navigation information. But the GPS performance degrades and even a complete outage may occur in urban areas due to line of sight problem. Inertial Navigation System (INS) can provide navigation information during a GPS outage. However, due to bias, drift, noise and other errors, the position information quickly diverges which is more sever for low cost INS. These errors can be corrected in a stationary state. Detecting the stationary state to correct the INS error is crucial for navigation system. This paper proposes a novel stationary detection technique by the threshold approach with an Attitude Heading Reference System (AHRS) built from the Inertial Measurement Unit (IMU) sensors and acceleration information. The stationary state is detected from variance of the acceleration data and the heading of the vehicle. The test result shows that the 87% correct stationary state is detected from both the acceleration and heading information. The stationary state detection can help to correct the INS errors.

KW - AHRS

KW - GPS

KW - INS

KW - navigatyion

KW - ZUPT

UR - http://www.scopus.com/inward/record.url?scp=84910002211&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84910002211&partnerID=8YFLogxK

U2 - 10.1109/ICEEICT.2014.6919141

DO - 10.1109/ICEEICT.2014.6919141

M3 - Conference contribution

SN - 9781479948192

BT - 1st International Conference on Electrical Engineering and Information and Communication Technology, ICEEICT 2014

PB - Institute of Electrical and Electronics Engineers Inc.

ER -