Vidal-Calleja, Teresa Berger, Cyrille Lacroix, Simon 2009 (English)In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE conference proceedings, 2009, 1535-1540Conference paper (Refereed)
A large-scale mapping approach is combined with multiple robots events to achieve cooperative mapping. The mapping approach used is based on hierarchical SLAM -global level and local maps-, which is generalized for the multi-robot case. In particular, the consequences of multi-robot loop closing events (common landmarks detection and relative pose measurement between robots) are analyzed and managed at a global level. We present simulation results for each of these events using aerial and ground robots, and experimental results obtained with ground robots.
National CategoryComputer Vision and Robotics (Autonomous Systems)
Identifiersurn:nbn:se:liu:diva-73414 (URN)10.1109/IROS.2009.5354335 (DOI)978-1-4244-3803-7 (ISBN)oai:DiVA.org:liu-73414 (OAI)diva2:472030 (DiVA)
IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS, 11-15 October, October, St. Louis, USA