NDLI: Terrain classification in field environment with grid-based SURF feature

Content Provider	IEEE Xplore Digital Library
Author	Chen Ming Dai Xiaofang Lv Zhounan Sun Fengchi Yuan Jing
Copyright Year	2014
Description	Author affiliation: Coll. of Software, Nankai Univ., Tianjin, China (Chen Ming; Dai Xiaofang; Lv Zhounan; Sun Fengchi) \|\| Coll. of Comput. & Control Eng., Nankai Univ., Tianjin, China (Yuan Jing)
Abstract	Mobile robot's terrain classification in field environment is severely affected and obstructed by the changes of the external conditions. This paper introduces a kind of feature which is based on SURF (Speed-Up Robust Features), then we improve and optimize it to make it suitable for terrain classification and we call it grid-based SURF feature; besides we apply the grid-based SURF feature in terrain classification in field environment. Compared with other traditional features such as color histogram and color moment, the experiments result shows that grid-based SURF feature can not only get a good classification result but also keep being better than others when illumination changes, thus the grid-based SURF feature is applicative and robust in terrain classification in field environment.
Starting Page	8253
Ending Page	8258
File Size	606676
Page Count	6
File Format	PDF
ISBN	9789881563873
ISSN	19341768
DOI	10.1109/ChiCC.2014.6896383
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	Computers field environment grid-based SURF feature Color terrain classification Educational institutions mobile robot Robustness Software Electronic mail Sun
Content Type	Text
Resource Type	Article

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