Abstract
In the previous chapters, road terrain classification using an accelerometer, a camera and a downward facing LRF has been investigated.
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Kindermann R, Snell JL (1980) Markov random fields and their applications. Am Math Soc
Bishop CM (2006) Pattern recognition and machine learning. Springer, New York
Kittler J, Föglein J (1984) Contextual classification of multispectral pixel data. Image Vis Comput 2(1):13–29
Bauer E, Kohavi R (1999) An empirical comparison of voting classification algorithms: bagging, boosting, and variants. Mach Learn 36(1/2):105–139
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© 2019 China Machine Press, Beijing and Springer Nature Singapore Pte Ltd.
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Wang, S. (2019). Multiple-Sensor Based Road Terrain Classification. In: Road Terrain Classification Technology for Autonomous Vehicle. Unmanned System Technologies. Springer, Singapore. https://doi.org/10.1007/978-981-13-6155-5_6
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DOI: https://doi.org/10.1007/978-981-13-6155-5_6
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