Probabilistic Voxel Mapping Using Stereo Matching Confidence

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 242
  • Download : 0
There has been meaningful research into the development of 3D world modeling techniques that are important requisite for intelligent vehicle navigation. In this paper we describe a 3D probabilistic voxel mapping process using stereo matching confidence. Proposed 3D probabilistic voxel map is more reliable representation than general voxel map that just contains the occupancy information. To get the matching confidence value, we evaluate stereo matching costs and its propagation. We test the proposed method in large-scale outdoor environment.
Publisher
KROS
Issue Date
2011-11-23
Language
ENG
Citation

International Conference on Ubiquitous Robots and Ambient Intelligence (URAI2011), pp.802 - 803

URI
http://hdl.handle.net/10203/171456
Appears in Collection
EE-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0