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A Novel Vehicle Stationary Detection Utilizing Map Matching and IMU Sensors
Joint Authors
Bhuiyan, Mohammad Arif Sobhan
Amin, Md. Syedul
Reaz, Mamun Bin Ibne
Nasir, Salwa Sheikh
Ali, Mohd. Alauddin Mohd.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-07
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Amin, Md. Syedul& Reaz, Mamun Bin Ibne& Nasir, Salwa Sheikh& Bhuiyan, Mohammad Arif Sobhan& Ali, Mohd. Alauddin Mohd.. 2014. A Novel Vehicle Stationary Detection Utilizing Map Matching and IMU Sensors. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1050266
Modern Language Association (MLA)
Amin, Md. Syedul…[et al.]. A Novel Vehicle Stationary Detection Utilizing Map Matching and IMU Sensors. The Scientific World Journal No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1050266
American Medical Association (AMA)
Amin, Md. Syedul& Reaz, Mamun Bin Ibne& Nasir, Salwa Sheikh& Bhuiyan, Mohammad Arif Sobhan& Ali, Mohd. Alauddin Mohd.. A Novel Vehicle Stationary Detection Utilizing Map Matching and IMU Sensors. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1050266
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050266