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» Extracting general-purpose features from LIDAR data
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ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
13 years 2 months ago
Extracting general-purpose features from LIDAR data
— The detection of features from Light Detection and Ranging (LIDAR) data is a fundamental component of featurebased mapping and SLAM systems. Existing detectors tend to exploit ...
Yangming Li, Edwin B. Olson
IEEECGIV
2005
IEEE
13 years 10 months ago
Automatic Feature Extraction and Stereo Image Processing with Genetic Algorithms for LiDAR Data
Aerial photos with LiDAR data were processed with genetic algorithms for not only the feature extraction but also orthographical image. DSM provided by LiDAR reduced the amount of...
Teng-To Yu, Ming Yang, Chao-Shi Chen
CLEF
2006
Springer
13 years 8 months ago
Experimenting a "General Purpose" Textual Entailment Learner in AVE
In this paper we present the use of a "general purpose" textual entaiment recognizer in the Answer Validation Exercise (AVE) task. Our system has been developed to learn...
Fabio Massimo Zanzotto, Alessandro Moschitti
CVPR
2012
IEEE
11 years 6 months ago
Road network extraction from airborne LiDAR data using scene context
We presented a novel procedure to extract ground road networks from airborne LiDAR data. First point clouds were separated into ground and non-ground parts, and ground roads were ...
Jiaping Zhao, Suya You
CRV
2008
IEEE
182views Robotics» more  CRV 2008»
13 years 10 months ago
Deforestation: Extracting 3D Bare-Earth Surface from Airborne LiDAR Data
Bare-earth identification selects points from a LiDAR point cloud so that they can be interpolated to form a representation of the ground surface from which structures, vegetatio...
Wei-Lwun Lu, James J. Little, Alla Sheffer, Hongbo...