Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/107732
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dc.contributor.author | Cadena, C. | - |
dc.contributor.author | Dick, A. | - |
dc.contributor.author | Reid, I. | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | IEEE International Conference on Robotics and Automation, 2015, vol.2015-June, iss.June, pp.4859-4866 | - |
dc.identifier.isbn | 9781479969234 | - |
dc.identifier.issn | 1050-4729 | - |
dc.identifier.issn | 2577-087X | - |
dc.identifier.uri | http://hdl.handle.net/2440/107732 | - |
dc.description.abstract | We propose a semantic scene understanding system that is suitable for real robotic operations. The system solves different tasks (semantic segmentation and object detections) in an opportunistic and distributed fashion but still allows communication between modules to improve their respective performances. We propose the use of the semantic space to improve specific out-of-the-box object detectors and an update model to take the evidence from different detection into account in the semantic segmentation process. Our proposal is evaluated with the KITTI dataset, on the object detection benchmark and on five different sequences manually annotated for the semantic segmentation task, demonstrating the efficacy of our approach. | - |
dc.description.statementofresponsibility | Cesar Cadena, Anthony Dick and Ian D. Reid | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.relation.ispartofseries | IEEE International Conference on Robotics and Automation ICRA | - |
dc.rights | © 2015 IEEE | - |
dc.source.uri | http://dx.doi.org/10.1109/icra.2015.7139874 | - |
dc.subject | Semantics, detectors, context, benchmark testing, training, robots, object detection | - |
dc.title | A fast, modular scene understanding system using context-aware object detection | - |
dc.type | Conference paper | - |
dc.contributor.conference | 2015 IEEE International Conference on Robotics and Automation (ICRA 2015) (26 May 2015 - 30 May 2015 : Seattle, WA) | - |
dc.identifier.doi | 10.1109/ICRA.2015.7139874 | - |
dc.relation.grant | http://purl.org/au-research/grants/arc/DP130104413 | - |
dc.relation.grant | http://purl.org/au-research/grants/arc/CE140100016 | - |
dc.relation.grant | http://purl.org/au-research/grants/arc/FL130100102 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Dick, A. [0000-0001-9049-7345] | - |
dc.identifier.orcid | Reid, I. [0000-0001-7790-6423] | - |
Appears in Collections: | Aurora harvest 3 Computer Science publications |
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RA_hdl_107732.pdf Restricted Access | Restricted Access | 2.72 MB | Adobe PDF | View/Open |
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