Name
Abstract | ||
|---|---|---|
An iterative temporal registration algorithm is presented in this article for registering 3D range images obtained from unmanned
ground and aerial vehicles traversing unstructured environments. We are primarily motivated by the development of 3D registration
algorithms to overcome both the unavailability and unreliability of Global Positioning System (GPS) within required accuracy
bounds for Unmanned Ground Vehicle (UGV) navigation. After suitable modifications to the well-known Iterative Closest Point
(ICP) algorithm, the modified algorithm is shown to be robust to outliers and false matches during the registration of successive
range images obtained from a scanning LAser Detection And Ranging (LADAR) rangefinder on the UGV. Towards registering LADAR
images from the UGV with those from an Unmanned Aerial Vehicle (UAV) that flies over the terrain being traversed, we then
propose a hybrid registration approach. In this approach to air to ground registration to estimate and update the position
of the UGV, we register range data from two LADARs by combining a feature-based method with the aforementioned modified ICP
algorithm. Registration of range data guarantees an estimate of the vehicle's position even when only one of the vehicles
has GPS information. Temporal range registration enables position information to be continually maintained even when both
vehicles can no longer maintain GPS contact. We present results of the registration algorithm in rugged terrain and urban
environments using real field data acquired from two different LADARs on the UGV. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ROBOT.2004.1307552 | International Conference on Robotics and Automation |
Keywords | DocType | Volume |
iterative registration,position estimation,unmanned ground and aerial vehicles,LADAR | Conference | 44 |
Issue | ISSN | Citations |
1 | 0921-0296 | 13 |
PageRank | References | Authors |
0.92 | 20 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raj Madhavan | 1 | 237 | 27.91 |
| Tsai Hong | 2 | 137 | 14.46 |
| Elena Messina | 3 | 187 | 23.36 |