A novel vehicle stationary detection utilizing map matching and IMU sensors

Md S yedul Amin, Md. Mamun Ibne Reaz, Salwa S heikh Nasir, Mohammad A rif Sobhan Bhuiyan, Mohd A lauddin Mohd Ali

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Precise navigation is a vital need for many modern vehicular applications. The global positioning system (GPS) cannot provide continuous navigation information in urban areas. The widely used inertial navigation system (INS) can provide full vehicle state at high rates. However, the accuracy diverges quickly in low cost microelectromechanical systems (MEMS) based INS due to bias, drift, noise, and other errors. These errors can be corrected in a stationary state. But detecting stationary state is a challenging task. A novel stationary state detection technique from the variation of acceleration, heading, and pitch and roll of an attitude heading reference system (AHRS) built from the inertial measurement unit (IMU) sensors is proposed. Besides, the map matching (MM) algorithm detects the intersections where the vehicle is likely to stop. Combining these two results, the stationary state is detected with a smaller timing window of 3 s. A longer timing window of 5 s is used when the stationary state is detected only from the AHRS. The experimental results show that the stationary state is correctly identified and the position error is reduced to 90% and outperforms previously reported work. The proposed algorithm would help to reduce INS errors and enhance the performance of the navigation system.

Original languageEnglish
Pages (from-to)597180
Number of pages1
JournalTheScientificWorldJournal
Volume2014
DOIs
Publication statusPublished - 2014

Fingerprint

Units of measurement
Inertial navigation systems
navigation
sensor
Geographic Information Systems
Sensors
Noise
Navigation
Costs and Cost Analysis
Navigation systems
MEMS
Global positioning system
vehicle
detection
GPS
urban area
Costs
cost

ASJC Scopus subject areas

  • Medicine(all)

Cite this

A novel vehicle stationary detection utilizing map matching and IMU sensors. / Amin, Md S yedul; Ibne Reaz, Md. Mamun; Nasir, Salwa S heikh; Bhuiyan, Mohammad A rif Sobhan; Ali, Mohd A lauddin Mohd.

In: TheScientificWorldJournal, Vol. 2014, 2014, p. 597180.

Research output: Contribution to journalArticle

Amin, Md S yedul ; Ibne Reaz, Md. Mamun ; Nasir, Salwa S heikh ; Bhuiyan, Mohammad A rif Sobhan ; Ali, Mohd A lauddin Mohd. / A novel vehicle stationary detection utilizing map matching and IMU sensors. In: TheScientificWorldJournal. 2014 ; Vol. 2014. pp. 597180.
@article{c15e53fb6575410cbb7f3910d3351dca,
title = "A novel vehicle stationary detection utilizing map matching and IMU sensors",
abstract = "Precise navigation is a vital need for many modern vehicular applications. The global positioning system (GPS) cannot provide continuous navigation information in urban areas. The widely used inertial navigation system (INS) can provide full vehicle state at high rates. However, the accuracy diverges quickly in low cost microelectromechanical systems (MEMS) based INS due to bias, drift, noise, and other errors. These errors can be corrected in a stationary state. But detecting stationary state is a challenging task. A novel stationary state detection technique from the variation of acceleration, heading, and pitch and roll of an attitude heading reference system (AHRS) built from the inertial measurement unit (IMU) sensors is proposed. Besides, the map matching (MM) algorithm detects the intersections where the vehicle is likely to stop. Combining these two results, the stationary state is detected with a smaller timing window of 3 s. A longer timing window of 5 s is used when the stationary state is detected only from the AHRS. The experimental results show that the stationary state is correctly identified and the position error is reduced to 90{\%} and outperforms previously reported work. The proposed algorithm would help to reduce INS errors and enhance the performance of the navigation system.",
author = "Amin, {Md S yedul} and {Ibne Reaz}, {Md. Mamun} and Nasir, {Salwa S heikh} and Bhuiyan, {Mohammad A rif Sobhan} and Ali, {Mohd A lauddin Mohd}",
year = "2014",
doi = "10.1155/2014/597180",
language = "English",
volume = "2014",
pages = "597180",
journal = "Scientific World Journal",
issn = "2356-6140",
publisher = "Hindawi Publishing Corporation",

}

TY - JOUR

T1 - A novel vehicle stationary detection utilizing map matching and IMU sensors

AU - Amin, Md S yedul

AU - Ibne Reaz, Md. Mamun

AU - Nasir, Salwa S heikh

AU - Bhuiyan, Mohammad A rif Sobhan

AU - Ali, Mohd A lauddin Mohd

PY - 2014

Y1 - 2014

N2 - Precise navigation is a vital need for many modern vehicular applications. The global positioning system (GPS) cannot provide continuous navigation information in urban areas. The widely used inertial navigation system (INS) can provide full vehicle state at high rates. However, the accuracy diverges quickly in low cost microelectromechanical systems (MEMS) based INS due to bias, drift, noise, and other errors. These errors can be corrected in a stationary state. But detecting stationary state is a challenging task. A novel stationary state detection technique from the variation of acceleration, heading, and pitch and roll of an attitude heading reference system (AHRS) built from the inertial measurement unit (IMU) sensors is proposed. Besides, the map matching (MM) algorithm detects the intersections where the vehicle is likely to stop. Combining these two results, the stationary state is detected with a smaller timing window of 3 s. A longer timing window of 5 s is used when the stationary state is detected only from the AHRS. The experimental results show that the stationary state is correctly identified and the position error is reduced to 90% and outperforms previously reported work. The proposed algorithm would help to reduce INS errors and enhance the performance of the navigation system.

AB - Precise navigation is a vital need for many modern vehicular applications. The global positioning system (GPS) cannot provide continuous navigation information in urban areas. The widely used inertial navigation system (INS) can provide full vehicle state at high rates. However, the accuracy diverges quickly in low cost microelectromechanical systems (MEMS) based INS due to bias, drift, noise, and other errors. These errors can be corrected in a stationary state. But detecting stationary state is a challenging task. A novel stationary state detection technique from the variation of acceleration, heading, and pitch and roll of an attitude heading reference system (AHRS) built from the inertial measurement unit (IMU) sensors is proposed. Besides, the map matching (MM) algorithm detects the intersections where the vehicle is likely to stop. Combining these two results, the stationary state is detected with a smaller timing window of 3 s. A longer timing window of 5 s is used when the stationary state is detected only from the AHRS. The experimental results show that the stationary state is correctly identified and the position error is reduced to 90% and outperforms previously reported work. The proposed algorithm would help to reduce INS errors and enhance the performance of the navigation system.

UR - http://www.scopus.com/inward/record.url?scp=84931466488&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84931466488&partnerID=8YFLogxK

U2 - 10.1155/2014/597180

DO - 10.1155/2014/597180

M3 - Article

C2 - 25276855

AN - SCOPUS:84931466488

VL - 2014

SP - 597180

JO - Scientific World Journal

JF - Scientific World Journal

SN - 2356-6140

ER -