DocumentCode
250940
Title
A hough transform based scan registration strategy for Mobile Robotic Mapping
Author
Bo Sun ; Weiwei Kong ; Junhao Xiao ; Jianwei Zhang
Author_Institution
Dept. of Inf., Univ. of Hamburg, Hamburg, Germany
fYear
2014
fDate
May 31 2014-June 7 2014
Firstpage
4612
Lastpage
4619
Abstract
The scan registration is the cornerstone to Mobile Robotic Mapping, and the majority of existing global registration methods are dependent on specific features. This paper presents a global feature-less scan registration strategy based on the ground surface, which is extremely common in Mobile Robotic Mapping scenarios. The 3D rotation is decoupled from 3D translation by transforming the input scans into the Hough domain, wherein Phase Only Matched Filtering (POMF) is adopted for the partially overlapped signal registration. No particular features in the input data are prerequisite to our algorithm. The algorithm is validated by the challenging scans captured by our custom-built platform and a public dataset. The result illustrates the reliability of this algorithm to align feature-less, partially overlapped and noisy scans.
Keywords
Hough transforms; filtering theory; image registration; mobile robots; robot vision; Hough transform; POMF; global registration methods; mobile robotic mapping; overlapped signal registration; phase only matched filtering; scan registration strategy; Algorithm design and analysis; Equations; Noise; Robots; Three-dimensional displays; Transforms; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation (ICRA), 2014 IEEE International Conference on
Conference_Location
Hong Kong
Type
conf
DOI
10.1109/ICRA.2014.6907533
Filename
6907533
Link To Document