Performance Analysis of Position Estimation and Correction Methods
There are several global and local position estimation and refinement techniques based on the GNSS (Global Navigation Satellite System) and environmental monitoring (e.g., LIDAR, Light Detection and Ranging). These are usually based on a combination of multiple sensors using some form of sensor fusi...
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2024-11-01
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| Series: | Engineering Proceedings |
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| author | Krisztián Enisz Ernő Horváth Norbert Markó Zoltán Szeli József Gábor Pázmány |
| author_facet | Krisztián Enisz Ernő Horváth Norbert Markó Zoltán Szeli József Gábor Pázmány |
| author_sort | Krisztián Enisz |
| collection | DOAJ |
| description | There are several global and local position estimation and refinement techniques based on the GNSS (Global Navigation Satellite System) and environmental monitoring (e.g., LIDAR, Light Detection and Ranging). These are usually based on a combination of multiple sensors using some form of sensor fusion, together with a filtering or observation technique. The behavior of these algorithms may vary depending on the applied sensor signals and on their accuracy under different environmental conditions and for different vehicle types. In the case of systems that also use GNSS signals, different procedures must also be prepared for signal dropouts and, in the worst case, drastic fluctuations in accuracy. The aim of this research is to present and compare the performance of different estimation procedures for different vehicles and environmental conditions. |
| format | Article |
| id | doaj-art-03e4bc53f0314e75ad354107ca7a4e67 |
| institution | DOAJ |
| issn | 2673-4591 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj-art-03e4bc53f0314e75ad354107ca7a4e672025-08-20T02:56:06ZengMDPI AGEngineering Proceedings2673-45912024-11-017916110.3390/engproc2024079061Performance Analysis of Position Estimation and Correction MethodsKrisztián Enisz0Ernő Horváth1Norbert Markó2Zoltán Szeli3József Gábor Pázmány4Vehicle Industry Research Center, Széchenyi István University, H-9026 Győr, HungaryVehicle Industry Research Center, Széchenyi István University, H-9026 Győr, HungaryVehicle Industry Research Center, Széchenyi István University, H-9026 Győr, HungaryVehicle Industry Research Center, Széchenyi István University, H-9026 Győr, HungaryVehicle Industry Research Center, Széchenyi István University, H-9026 Győr, HungaryThere are several global and local position estimation and refinement techniques based on the GNSS (Global Navigation Satellite System) and environmental monitoring (e.g., LIDAR, Light Detection and Ranging). These are usually based on a combination of multiple sensors using some form of sensor fusion, together with a filtering or observation technique. The behavior of these algorithms may vary depending on the applied sensor signals and on their accuracy under different environmental conditions and for different vehicle types. In the case of systems that also use GNSS signals, different procedures must also be prepared for signal dropouts and, in the worst case, drastic fluctuations in accuracy. The aim of this research is to present and compare the performance of different estimation procedures for different vehicles and environmental conditions.https://www.mdpi.com/2673-4591/79/1/61vehicle localization algorithmsextended Kalman filtervehicle dynamics |
| spellingShingle | Krisztián Enisz Ernő Horváth Norbert Markó Zoltán Szeli József Gábor Pázmány Performance Analysis of Position Estimation and Correction Methods Engineering Proceedings vehicle localization algorithms extended Kalman filter vehicle dynamics |
| title | Performance Analysis of Position Estimation and Correction Methods |
| title_full | Performance Analysis of Position Estimation and Correction Methods |
| title_fullStr | Performance Analysis of Position Estimation and Correction Methods |
| title_full_unstemmed | Performance Analysis of Position Estimation and Correction Methods |
| title_short | Performance Analysis of Position Estimation and Correction Methods |
| title_sort | performance analysis of position estimation and correction methods |
| topic | vehicle localization algorithms extended Kalman filter vehicle dynamics |
| url | https://www.mdpi.com/2673-4591/79/1/61 |
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