Referenced Items are not available for this document.
This paper presents a method to estimate the system-state, especially the full position, of an autonomous vehicle using sensor data fusion of redundant position signals based on an extended Kalman-filter. The position is detected with the help of magnet sensors attached at the vehicle and a global camera signal with low resolution, similar to GPS. A lane marked with permanent magnets and an infrared camera are used for this purpose. The vehiclepsilas driving dynamics are described using a nonlinear single-track model.
Published in:
Intelligent Systems and Informatics, 2008. SISY 2008. 6th International Symposium on
Date of Conference: 26-27 Sept. 2008
- Page(s):
- 1 - 5
- E-ISBN :
- 978-1-4244-2407-8
- Print ISBN:
- 978-1-4244-2406-1
- INSPEC Accession Number:
- 10384695
- Conference Location :
- Subotica
- Digital Object Identifier :
- 10.1109/SISY.2008.4664905
- Product Type:
- Conference Publications
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