@inproceedings{9d90621c83964906aa85ae52ce6f131c,
title = "Odometry-prefered scan matching method",
abstract = "In this paper, we address the problem of estimating rigid body transformations in two-dimensional space. A new probabilistic weight function is proposed to find a solution closes to odometry information more preferably. The weight function is motivated by hypothesis that a solution of a scan matching problem which prefers odometry information may show better performance in terms of accuracy and convergence. Through the test with three real data sets, our hypothesis was confirmed.",
keywords = "Laser range finder, Rigid body transformation, Scan matching",
author = "K. Lee and S. Lee and D. Lee and M. Kolsch",
year = "2012",
doi = "10.1109/URAI.2012.6463077",
language = "English",
isbn = "9781467331104",
series = "2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012",
pages = "563--564",
booktitle = "2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012",
note = "2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012 ; Conference date: 26-11-2012 Through 29-11-2012",
}