Title :
A new approach to 3-D terrain mapping
Author :
Huber, Daniel F. ; Hebert, Martial
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
We discuss the problem of building larger high-resolution three-dimensional representations of unstructured terrain using terrestrial range sensors, which operate at the scale of meters to hundreds of meters. Issues specific to this sensing modality include widely varying resolution, absence of reliably detectable features, and very large data sets. We have developed a map building algorithm that registers and integrates sequences of range images, and we demonstrate its capabilities by building large terrain maps (260×166 meters) using ground-based and low-altitude terrestrial range sensors
Keywords :
distance measurement; image registration; image sequences; laser ranging; mobile robots; optical sensors; 3D terrain mapping; high-resolution three-dimensional representations; map building algorithm; range images; terrestrial range sensors; unstructured terrain; Buildings; Computer vision; Image sensors; Iterative algorithms; Remote sensing; Robot sensing systems; Sea surface; Sensor phenomena and characterization; Shape; Terrain mapping;
Conference_Titel :
Intelligent Robots and Systems, 1999. IROS '99. Proceedings. 1999 IEEE/RSJ International Conference on
Conference_Location :
Kyongju
Print_ISBN :
0-7803-5184-3
DOI :
10.1109/IROS.1999.812830