NDLI: A temporal filter approach for detection and reconstruction of curbs and road surfaces based on Conditional Random Fields

Content Provider	IEEE Xplore Digital Library
Author	Siegemund, J. Franke, U. Forstner, W.
Copyright Year	2011
Description	Author affiliation: University of Bonn, Institute of Geodesy and Geoinformation, Department of Photogrammetry, Germany (Siegemund, J.; Forstner, W.) \|\| Daimler AG, Group Research and Advanced Engineering, Sindelfingen, Germany (Franke, U.)
Abstract	A temporal filter approach for real-time detection and reconstruction of curbs and road surfaces from 3D point clouds is presented. Instead of local thresholding, as used in many other approaches, a 3D curb model is extracted from the point cloud. The 3D points are classified to different parts of the model (i.e. road and sidewalk) using a temporally integrated Conditional Random Field (CRF). The parameters of curb and road surface are then estimated from the respectively assigned points, providing a temporal connection via a Kalman filter.
Starting Page	637
Ending Page	642
File Size	1806356
Page Count	6
File Format	PDF
ISBN	9781457708909
ISSN	19310587
e-ISBN	9781457708916
DOI	10.1109/IVS.2011.5940447
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-05
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Labeling Image reconstruction Surface reconstruction Three dimensional displays Computational modeling Cameras Estimation
Content Type	Text
Resource Type	Article

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A temporal filter approach for detection and reconstruction of curbs and road surfaces based on Conditional Random Fields