Journal article
Active exploration for robust object detection
- Abstract:
-
Today, mobile robots are increasingly expected to operate in ever more complex and dynamic environments. In order to carry out many of the higher-level tasks envisioned a semantic understanding of a workspace is pivotal. Here our field has benefited significantly from successes in machine learning and vision: applications in robotics of off-the-shelf object detectors are plentiful. This paper outlines an online, any-time planning framework enabling the active exploration of such detections. O...
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- Publisher copy:
- 10.5591/978-1-57735-516-8/IJCAI11-458
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Authors
Bibliographic Details
- Journal:
- IJCAI International Joint Conference on Artificial Intelligence
- Pages:
- 2752-2757
- Publication date:
- 2011-01-01
- DOI:
- ISSN:
-
1045-0823
- Source identifiers:
-
417059
Item Description
- Language:
- English
- Pubs id:
-
pubs:417059
- UUID:
-
uuid:9eb877cd-8475-440e-ac51-a44aa8b9badc
- Local pid:
- pubs:417059
- Deposit date:
- 2013-11-17
Terms of use
- Copyright date:
- 2011
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