Madhavan, R.
and Messina, E.
(2003),
Iterative Registration of 3D LADAR Data for Autonomous Navigation, Intelligent Vehicles Sympoisum: IEEE IV2003 | | Obstacle Detection |, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=823454
(Accessed October 10, 2025)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Iterative Registration of 3D LADAR Data for Autonomous Navigation
Published
Author(s)
,
Abstract
This paper describes an iterative algorithm for registration of 3D LADAR data. The proposed approach is iconic in nature with suitable modifications to deal with false/spurious matches, occlusions and outliers. Experimental results using data obtained from field trials on an eXperimental Unmanned Vehicle (XUV) are presented to demonstrate the efficacy of the approach. The paper also details ongoing research efforts to determine the feasibility of employing the algorithm for real-time autonomous navigation.Proceedings Title
Intelligent Vehicles Sympoisum: IEEE IV2003 | | Obstacle Detection |
Conference Dates
June 9-11, 2003
Conference Title
Proceedings of the IEEE Intelligent Vehicles Symposium
Pub Type
Conferences
Download Paper
Keywords
Global Optimization, Iterative Closest Point, LADAR, Registration
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact [email protected].
Created June 1, 2003, Updated February 17, 2017