Abstract
Localization can be defined as the process of estimating the pose of an agent, given a representation of the environment and sensor input. In this work, we use
Topo-metric Appearance Maps to represent the environment, and introduce a new method for localization using only a camera. The method relies on local image
features detection, description and matching; by parallelizing these computationally intensive tasks on the graphical processing unit (GPU), it is possible to do online localization using a Topometric Appearance Map. The method is developed as an integral part of a mobile service robot system [1] , and empirically evaluated using
a real robot in a typical indoor environment.
Topo-metric Appearance Maps to represent the environment, and introduce a new method for localization using only a camera. The method relies on local image
features detection, description and matching; by parallelizing these computationally intensive tasks on the graphical processing unit (GPU), it is possible to do online localization using a Topometric Appearance Map. The method is developed as an integral part of a mobile service robot system [1] , and empirically evaluated using
a real robot in a typical indoor environment.
Original language | English |
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Publication date | 2010 |
Number of pages | 1 |
Publication status | Published - 2010 |
Event | Visionday 2010: Industrial - DTU, Kgs. Lyngby, Denmark Duration: 25 May 2010 → 28 May 2010 |
Conference
Conference | Visionday 2010: Industrial |
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Location | DTU |
Country/Territory | Denmark |
City | Kgs. Lyngby |
Period | 25/05/2010 → 28/05/2010 |