Title :
A recognition method about lidar data based on the rough set
Author :
Zhang Yi ; Fu Mengyin ; Wang Meiling ; Xu Qian
Author_Institution :
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
Abstract :
This paper analyzes how to achieve the accuracy of the lidar data processing. In this paper, we analyze the ways about classification of the point cloud data and extraction of the attribute feature data. We find a way on attaching attribute information to the point cloud data sets. At last, we use rough set algorithm to excavate clustering rules from a large number of the point cloud data. We achieved the point cloud data clustering by the method of rough set, and completed the recognition of obstacles.
Keywords :
data mining; electrical engineering computing; feature extraction; optical radar; pattern classification; pattern clustering; rough set theory; LIDAR data; LIDAR data processing; attribute feature data extraction; attribute information; clustering rule excavation; obstacle recognition method; point cloud data clustering; point cloud data set classification; rough set algorithm; Automation; Data mining; Educational institutions; Electronic mail; Feature extraction; Laser radar; Three-dimensional displays; Data Mining; Point Cloud Data; Rough Set;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896410
