Key Technologies in Low-cost Integrated Vehicle Navigation Systems
Performance Analysis of MEMS and Their Integration with Camera and GPS Observations
A vehicle navigation system can consist of several sensors: GPS, INS, odometers, cameras etc. The Micro Electrical Mechanical Sensors (MEMS) are cheap alternative to more expensive inertial sensors, but they suffer from larger errors. The MEMS stochastic errors are analysed with different methods. GPS/MEMS integration is introduced and navigation errors are analysed based on analytical error propagation studies and on real tests. Moreover, the GPS/MEMS combination is augmented by map matching and camera observations of detected objects (lines and points). The robust BLAVE (Balanced Least Absolute Value Estimator) method is introduced and appl…
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Produktdetails
- ISBN: 978-3-659-49936-4
- EAN: 9783659499364
- Produktnummer: 37414675
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2013
- Seitenangabe: 300 S.
- Masse: H22.0 cm x B15.0 cm x D1.8 cm 465 g
- Abbildungen: Paperback
- Gewicht: 465
Über den Autor
Yueming Zhao got his PhD degree from Royal Institute of Technology (KTH) in 2013. His background is both Electronic and Surveying Engineering, and his research fields include integrated vehicle navigation, computer vision and image processing.
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