Name
Abstract | ||
|---|---|---|
This paper proposes a vision-based behavior selection system using biologically-inspired visual attention selection mechanisms, i.e., Bottom-Up attention and Top-Down attention. We adopt purely Bottom-Up attention selection to identify conspicuous regions for obtaining the salient landmarks, while propose an object-based Top-Down attention method using low dimensional task-relevant feature for searching target. The autonomous behavior selection system utilizes the salient landmarks and topological map for localization and navigation based on position prediction of matched landmark pairs. The proposed system is evaluated using several tasks in indoor and office environments for mobile robot. The applicability and the usefulness of the developed method are validated by the results obtained in this manner. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ROBIO.2013.6739611 | 2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO) |
Keywords | Field | DocType |
mobile robots | Computer vision,Object detection,Object-based attention,Artificial intelligence,Topological map,Behavior-based robotics,Mobile robot navigation,Engineering,Landmark,Mobile robot,Salient | Conference |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
4 | ||