TY - GEN
T1 - A clustering method for efficient segmentation of 3D laser data
AU - Klasing, Klaas
AU - Wollherr, Dirk
AU - Buss, Martin
PY - 2008
Y1 - 2008
N2 - In this paper we present a novel method for the efficient segmentation of 3D laser range data. The proposed algorithm is based on a radially bounded nearest neighbor strategy and requires only two parameters. It yields deterministic, repeatable results and does not depend on any initialization procedure. The efficiency of the method is verified with synthetic and real 3D data.
AB - In this paper we present a novel method for the efficient segmentation of 3D laser range data. The proposed algorithm is based on a radially bounded nearest neighbor strategy and requires only two parameters. It yields deterministic, repeatable results and does not depend on any initialization procedure. The efficiency of the method is verified with synthetic and real 3D data.
UR - http://www.scopus.com/inward/record.url?scp=67649427775&partnerID=8YFLogxK
U2 - 10.1109/ROBOT.2008.4543832
DO - 10.1109/ROBOT.2008.4543832
M3 - Conference contribution
AN - SCOPUS:67649427775
SN - 9781424416479
T3 - Proceedings - IEEE International Conference on Robotics and Automation
SP - 4043
EP - 4048
BT - 2008 IEEE International Conference on Robotics and Automation, ICRA 2008
T2 - 2008 IEEE International Conference on Robotics and Automation, ICRA 2008
Y2 - 19 May 2008 through 23 May 2008
ER -