Drone Tracking Based on the Fusion of Staring Radar and Camera Data: An Experimental Study
This paper presents an experimental study on tracking a small drone target with a high resolution camera and a staring radar. The objective is to assess the benefits of fusing the outputs of both sensors using real data collected during live drone trials. We examine the impact of losing the signal f...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , |
| منشور في: |
2023
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://depot.sorbonne.ae/handle/20.500.12458/1420 |
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| _version_ | 1857415063597481985 |
|---|---|
| author | De Rouchechouart, Maxence |
| author2 | Ahmad, Bashar I. Seghrouchni, Amal El Fallah Barbaresco, Frederic Harman, Stephen Abu Zitar, Raed |
| author2_role | author author author author author |
| author_facet | De Rouchechouart, Maxence Ahmad, Bashar I. Seghrouchni, Amal El Fallah Barbaresco, Frederic Harman, Stephen Abu Zitar, Raed |
| author_role | author |
| dc.creator.none.fl_str_mv | De Rouchechouart, Maxence Ahmad, Bashar I. Seghrouchni, Amal El Fallah Barbaresco, Frederic Harman, Stephen Abu Zitar, Raed |
| dc.date.none.fl_str_mv | 2023-06-26T04:29:37Z 2023-06-26T04:29:37Z 2023 |
| dc.identifier.none.fl_str_mv | https://depot.sorbonne.ae/handle/20.500.12458/1420 10.1109/RadarConf2351548.2023.10149552 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | 2023 IEEE Radar Conference (RadarConf23) |
| dc.subject.none.fl_str_mv | staring radar high resolution camera tracking drones sensory data fusion non-cooperative drone surveillance |
| dc.title.none.fl_str_mv | Drone Tracking Based on the Fusion of Staring Radar and Camera Data: An Experimental Study |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::conference object::conference proceedings |
| description | This paper presents an experimental study on tracking a small drone target with a high resolution camera and a staring radar. The objective is to assess the benefits of fusing the outputs of both sensors using real data collected during live drone trials. We examine the impact of losing the signal from one sensor, which often occurs in practice for various reasons such as occlusions, high background noise-clutter, target sharp maneuvers, etc. We demonstrate that fusion with filtering, namely employing interacting multiple models with unscented Kalman filter in modified spherical coordinates or a simple extended Kalman filter, can deliver improved overall target tracking performance under such degraded sensing conditions. |
| id | sorbonner_3ca70338ec5f9be50edf24a2b8c76517 |
| identifier_str_mv | 10.1109/RadarConf2351548.2023.10149552 |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/1420 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Drone Tracking Based on the Fusion of Staring Radar and Camera Data: An Experimental StudyDe Rouchechouart, MaxenceAhmad, Bashar I.Seghrouchni, Amal El FallahBarbaresco, FredericHarman, StephenAbu Zitar, Raedstaring radarhigh resolution cameratrackingdronessensory data fusionnon-cooperative drone surveillanceThis paper presents an experimental study on tracking a small drone target with a high resolution camera and a staring radar. The objective is to assess the benefits of fusing the outputs of both sensors using real data collected during live drone trials. We examine the impact of losing the signal from one sensor, which often occurs in practice for various reasons such as occlusions, high background noise-clutter, target sharp maneuvers, etc. We demonstrate that fusion with filtering, namely employing interacting multiple models with unscented Kalman filter in modified spherical coordinates or a simple extended Kalman filter, can deliver improved overall target tracking performance under such degraded sensing conditions.2023-06-26T04:29:37Z2023-06-26T04:29:37Z2023Controlled Vocabulary for Resource Type Genres::text::conference object::conference proceedingshttps://depot.sorbonne.ae/handle/20.500.12458/142010.1109/RadarConf2351548.2023.10149552en2023 IEEE Radar Conference (RadarConf23)oai:depot.sorbonne.ae:20.500.12458/14202024-03-12T09:44:09Z |
| spellingShingle | Drone Tracking Based on the Fusion of Staring Radar and Camera Data: An Experimental Study De Rouchechouart, Maxence staring radar high resolution camera tracking drones sensory data fusion non-cooperative drone surveillance |
| title | Drone Tracking Based on the Fusion of Staring Radar and Camera Data: An Experimental Study |
| title_full | Drone Tracking Based on the Fusion of Staring Radar and Camera Data: An Experimental Study |
| title_fullStr | Drone Tracking Based on the Fusion of Staring Radar and Camera Data: An Experimental Study |
| title_full_unstemmed | Drone Tracking Based on the Fusion of Staring Radar and Camera Data: An Experimental Study |
| title_short | Drone Tracking Based on the Fusion of Staring Radar and Camera Data: An Experimental Study |
| title_sort | Drone Tracking Based on the Fusion of Staring Radar and Camera Data: An Experimental Study |
| topic | staring radar high resolution camera tracking drones sensory data fusion non-cooperative drone surveillance |
| url | https://depot.sorbonne.ae/handle/20.500.12458/1420 |