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Sharif, Helia and Martinez Calvo, Borja and Pfaab, Christian and Hölzel, Matthew (2017) Analysis of Attitude Jitter on the Performance of Feature Detection. IEEE Xplore. 46th IEEE Applied Imagery Pattern Recognition (AIPR): Big Data, Analytics, and Beyond, 2017-10-10 - 2017-10-12, Washington, United States of America. doi: 10.1109/AIPR.2017.8457963.
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Abstract
This study explored a vision algorithm's performance during a shaker test to help reproduce the effects of vibration caused by the reaction wheels of a spacecraft. In this paper, we analyze the robustness of the feature detection technique by submitting the thermal and visible imaging cameras to sinusoidal vibrations as they simultaneously execute feature detection of the target.
| Item URL in elib: | https://elib.dlr.de/117263/ | ||||||||||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||
| Title: | Analysis of Attitude Jitter on the Performance of Feature Detection | ||||||||||||||||||||
| Authors: |
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| Date: | November 2017 | ||||||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||||||
| Open Access: | No | ||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||
| In SCOPUS: | No | ||||||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||||||
| DOI: | 10.1109/AIPR.2017.8457963 | ||||||||||||||||||||
| Editors: |
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| Publisher: | IEEE Xplore | ||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||
| Keywords: | Blind Deconvolution, Compensation for Attitude Jitter Effect, Autonomous Object Detection. | ||||||||||||||||||||
| Event Title: | 46th IEEE Applied Imagery Pattern Recognition (AIPR): Big Data, Analytics, and Beyond | ||||||||||||||||||||
| Event Location: | Washington, United States of America | ||||||||||||||||||||
| Event Type: | international Conference | ||||||||||||||||||||
| Event Start Date: | 10 October 2017 | ||||||||||||||||||||
| Event End Date: | 12 October 2017 | ||||||||||||||||||||
| Organizer: | IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence | ||||||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||
| HGF - Program: | Space | ||||||||||||||||||||
| HGF - Program Themes: | Space System Technology | ||||||||||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||||||||||
| DLR - Program: | R SY - Space System Technology | ||||||||||||||||||||
| DLR - Research theme (Project): | R - Optical navigation on hybrid avionics architecture | ||||||||||||||||||||
| Location: | Bremen | ||||||||||||||||||||
| Institutes and Institutions: | Institute of Space Systems > Navigation and Control Systems | ||||||||||||||||||||
| Deposited By: | Sharif, Helia | ||||||||||||||||||||
| Deposited On: | 14 Dec 2017 10:17 | ||||||||||||||||||||
| Last Modified: | 24 Apr 2024 20:21 |
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