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» Using Data Mining to Estimate Missing Sensor Data
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IROS
2006
IEEE
274views Robotics» more  IROS 2006»
15 years 3 months ago
Adaptive Scale Robust Segmentation for 2D Laser Scanner
Abstract— This paper presents a robust algorithm for segmentation and line detection in 2D range scans. The described method exploits the multimodal probability density function ...
Ruben Martinez-Cantin, José A. Castellanos,...
87
Voted
CVPR
2005
IEEE
15 years 3 months ago
A Slit Scanning Depth of Route Panorama from Stationary Blur
This work achieves an efficient acquisition of scenes and their depths along streets. During the movement of a vehicle, a slit in the camera frame is set properly to sample scenes...
Min Shi, Jiang Yu Zheng
ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
14 years 7 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu
89
Voted
ALGORITHMICA
2000
125views more  ALGORITHMICA 2000»
14 years 9 months ago
Mobile Robot Self-Localization without Explicit Landmarks
Localization is the process of determining the robot's location within its environment. More precisely, it is a procedure which takes as input a geometric map, a current estim...
R. G. Brown, Bruce Randall Donald
85
Voted
3DPVT
2004
IEEE
181views Visualization» more  3DPVT 2004»
15 years 1 months ago
Segmenting Correlation Stereo Range Images using Surface Elements
This paper describes methods for segmenting planar surfaces from noisy 3D data obtained from correlation stereo vision. We make use of local planar surface elements called patchle...
Don Murray, James J. Little