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dc.contributor.authorEl-Mowafy, Ahmed
dc.contributor.authorKubo, N.
dc.date.accessioned2018-12-13T09:16:06Z
dc.date.available2018-12-13T09:16:06Z
dc.date.created2018-12-12T02:46:43Z
dc.date.issued2018
dc.identifier.citationEl-Mowafy, A. and Kubo, N. 2018. Integrity monitoring for Positioning of intelligent transport systems using integrated RTK-GNSS, IMU and vehicle odometer. IET Intelligent Transport Systems. 12 (8): pp. 901-908.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/73311
dc.identifier.doi10.1049/iet-its.2018.0106
dc.description.abstract

Reliable continuing positioning is a critical requirement for intelligent transportation systems (ITS). An integrated positioning system is presented, where the global navigation satellite systems (GNSS) real-time kinematic (RTK) method was mainly used. When RTK is not available, positioning was maintained by using Doppler measurements or by low-cost inertial measurement unit (IMU) coupled with vehicle odometer measurements. A new integrity monitoring (IM) method is presented that addresses each positioning mode of the proposed integrated system. Models for the protection levels (PLs) are presented to bound the position error (PE) along the direction of motion of the vehicle and for the cross-track direction. Both direction components are needed, for instance for collision avoidance and for lane identification. The method was assessed through a kinematic test performed in a dense urban environment. Results showed that by integrating GNSS RTK, Doppler with IMU + odometer, positioning was available all the time. For RTK, positioning accuracy was less than a decimetre and the IM availability was 99%, where the PLs bounded the PEs and were less than an alert limit of 1 m. Positioning using Doppler and IMU + odometer measurements bridged RTK breaks but at the sub-meter level accuracy when used for short periods.

dc.titleIntegrity monitoring for Positioning of intelligent transport systems using integrated RTK-GNSS, IMU and vehicle odometer
dc.typeJournal Article
dcterms.source.volume12
dcterms.source.number8
dcterms.source.startPage901
dcterms.source.endPage908
dcterms.source.issn1751-956X
dcterms.source.titleIET Intelligent Transport Systems
curtin.note

This paper is a postprint of a paper submitted to and accepted for publication in IET Intelligent Transport Systems and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library

curtin.departmentSchool of Earth and Planetary Sciences (EPS)
curtin.accessStatusOpen access


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