On Detection of Observation Faults in the Observation and Position Domains for Positioning of Intelligent Transport Systems
Intelligent transportation systems (ITS) depend on global navigation satellite systems (GNSS) as a major positioning sensor, where the sensor should be able to detect and exclude faulty observations to support its reliability. In this article, two fault detection and exclusion (FDE) approaches are d...
| Main Author: | |
|---|---|
| Format: | Journal Article |
| Published: |
Springer Nature
2019
|
| Subjects: | |
| Online Access: | http://purl.org/au-research/grants/arc/DP170103341 http://hdl.handle.net/20.500.11937/76505 |
| _version_ | 1848763704309448704 |
|---|---|
| author | El-Mowafy, Ahmed |
| author_facet | El-Mowafy, Ahmed |
| author_sort | El-Mowafy, Ahmed |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Intelligent transportation systems (ITS) depend on global navigation satellite systems (GNSS) as a major positioning sensor, where the sensor should be able to detect and exclude faulty observations to support its reliability. In this article, two fault detection and exclusion (FDE) approaches are discussed. The first is its application in the observation domain using Chi-square test in Kalman filter processing. The second approach discusses FDE testing in the positioning domain using the solution separation (SS) method, where new FDE forms are presented that are tailored for ITS. In the first form, the test is parameterized along the direction of motion of the vehicle and in the cross-direction, which are relevant to applications that require lane identification and collision alert. A combined test is next established. Another form of the test is presented considering the maximum possible positioning error, and finally a direction-independent test. A new test that can be implemented in the urban environment is presented, which takes into account multipath effects that could disrupt the zero-mean normal distribution assumption of the positioning errors. Additionally, a test is presented to check that the position error resulting from the remaining measurements lies within acceptable limits. The proposed methods are demonstrated through a kinematic test run in various environments that may be experienced in ITS. |
| first_indexed | 2025-11-14T11:07:41Z |
| format | Journal Article |
| id | curtin-20.500.11937-76505 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:07:41Z |
| publishDate | 2019 |
| publisher | Springer Nature |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-765052020-10-19T00:22:58Z On Detection of Observation Faults in the Observation and Position Domains for Positioning of Intelligent Transport Systems El-Mowafy, Ahmed 0909 - Geomatic Engineering Yes GNSS, Fault Detection, Intelligent Transport Systems Intelligent transportation systems (ITS) depend on global navigation satellite systems (GNSS) as a major positioning sensor, where the sensor should be able to detect and exclude faulty observations to support its reliability. In this article, two fault detection and exclusion (FDE) approaches are discussed. The first is its application in the observation domain using Chi-square test in Kalman filter processing. The second approach discusses FDE testing in the positioning domain using the solution separation (SS) method, where new FDE forms are presented that are tailored for ITS. In the first form, the test is parameterized along the direction of motion of the vehicle and in the cross-direction, which are relevant to applications that require lane identification and collision alert. A combined test is next established. Another form of the test is presented considering the maximum possible positioning error, and finally a direction-independent test. A new test that can be implemented in the urban environment is presented, which takes into account multipath effects that could disrupt the zero-mean normal distribution assumption of the positioning errors. Additionally, a test is presented to check that the position error resulting from the remaining measurements lies within acceptable limits. The proposed methods are demonstrated through a kinematic test run in various environments that may be experienced in ITS. 2019 Journal Article http://hdl.handle.net/20.500.11937/76505 10.1007/s00190-019-01306-1 http://purl.org/au-research/grants/arc/DP170103341 Springer Nature fulltext |
| spellingShingle | 0909 - Geomatic Engineering Yes GNSS, Fault Detection, Intelligent Transport Systems El-Mowafy, Ahmed On Detection of Observation Faults in the Observation and Position Domains for Positioning of Intelligent Transport Systems |
| title | On Detection of Observation Faults in the Observation and Position Domains for Positioning of Intelligent Transport Systems |
| title_full | On Detection of Observation Faults in the Observation and Position Domains for Positioning of Intelligent Transport Systems |
| title_fullStr | On Detection of Observation Faults in the Observation and Position Domains for Positioning of Intelligent Transport Systems |
| title_full_unstemmed | On Detection of Observation Faults in the Observation and Position Domains for Positioning of Intelligent Transport Systems |
| title_short | On Detection of Observation Faults in the Observation and Position Domains for Positioning of Intelligent Transport Systems |
| title_sort | on detection of observation faults in the observation and position domains for positioning of intelligent transport systems |
| topic | 0909 - Geomatic Engineering Yes GNSS, Fault Detection, Intelligent Transport Systems |
| url | http://purl.org/au-research/grants/arc/DP170103341 http://hdl.handle.net/20.500.11937/76505 |