Model Based Vehicle Localization via an Iterative Parameter Estimation
This paper proposes a novel method for the estimation of the wheel circumferences, which have significant effects on a vehicle model based localization. One of the advantages of the method is that only cost effective onboard sensors, such as GPS, magnetometer, IMU and wheel encoders are used. Moreover, the estimation methods based on pure vehicle models can result in suitable localization, when other solutions are not effective i.e. the GPS signals are not available or other sensors are inaccurate, such as IMU measurements with low, constant velocity. The presented off-line algorithm has three main layers connecting the Kalman-filter and Least Squares based estimation processes in an iterative way. During the procedure the side-slip is estimated, which has a significant impact on the dynamics of the vehicle and the further estimations. Since in the method all of the measurements are used at once and the side-slip is also calculated, a highly accurate identification with low sensitivity on the noise can be reached. The efficiency of the vehicle model calibration is presented through CarSim simulations.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9783030380762
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Supplemental Notes:
- © Springer Nature Switzerland AG 2020.
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Corporate Authors:
Springer International Publishing
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Authors:
- Fazekas, Máté
- Németh, Balázs
- Gáspár, Péter
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Conference:
- 26th Symposium of the International Association of Vehicle System Dynamics (IAVSD 2019)
- Location: Gothenburg , Sweden
- Date: 2019-8-12 to 2019-8-16
- Publication Date: 2020-2
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 1660-1669
- Monograph Title: Advances in Dynamics of Vehicles on Roads and Tracks: Proceedings of the 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019, August 12-16, 2019, Gothenburg, Sweden
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Serial:
- Lecture Notes in Mechanical Engineering
- Publisher: Springer International Publishing
- ISSN: 2195-4356
- EISSN: 2195-4364
- Serial URL: http://link.springer.com/bookseries/11236
Subject/Index Terms
- TRT Terms: Automatic vehicle location; Calibration; Iterative methods; Kalman filtering; Simulation
- Identifier Terms: Carsim (Computer program)
- Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment;
Filing Info
- Accession Number: 01904084
- Record Type: Publication
- ISBN: 9783030380762
- Files: TRIS
- Created Date: Jan 4 2024 10:52AM