A DNN-LSTM based Target Tracking Approach using mmWave Radar and Camera Sensor Fusion
| dc.contributor.author | Sengupta, Arindam | |
| dc.contributor.author | Jin, Feng | |
| dc.contributor.author | Cao, Siyang | |
| dc.date.accessioned | 2020-11-30T21:55:32Z | |
| dc.date.available | 2020-11-30T21:55:32Z | |
| dc.date.issued | 2020-04-09 | |
| dc.identifier.citation | A. Sengupta, F. Jin and S. Cao, "A DNN-LSTM based Target Tracking Approach using mmWave Radar and Camera Sensor Fusion," 2019 IEEE National Aerospace and Electronics Conference (NAECON), Dayton, OH, USA, 2019, pp. 688-693, doi: 10.1109/NAECON46414.2019.9058168. | en_US |
| dc.identifier.issn | 0547-3578 | |
| dc.identifier.doi | 10.1109/naecon46414.2019.9058168 | |
| dc.identifier.uri | http://hdl.handle.net/10150/648685 | |
| dc.description.abstract | A new sensor fusion study for monocular camera and mmWave radar using deep neural network and LSTMs is presented. The proposed study includes a decision framework to produce reliable output when either sensor fails. Experiment results to demonstrate single sensor uncertainty and the proposed method's advantages are also presented. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.rights | Copyright © 2019, IEEE. | en_US |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
| dc.source | 2019 IEEE National Aerospace and Electronics Conference (NAECON) | |
| dc.subject | Sensor Fusion | en_US |
| dc.subject | DNN | en_US |
| dc.subject | LSTM | en_US |
| dc.subject | Target Tracking | en_US |
| dc.subject | mmWave Radar | en_US |
| dc.subject | Monocular Camera | en_US |
| dc.title | A DNN-LSTM based Target Tracking Approach using mmWave Radar and Camera Sensor Fusion | en_US |
| dc.type | Article | en_US |
| dc.contributor.department | Univ Arizona, Dept Elect & Comp Engn | en_US |
| dc.identifier.journal | PROCEEDINGS OF THE 2019 IEEE NATIONAL AEROSPACE AND ELECTRONICS CONFERENCE (NAECON) | en_US |
| dc.description.collectioninformation | This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu. | en_US |
| dc.eprint.version | Final accepted manuscript | en_US |
| refterms.dateFOA | 2020-11-30T21:55:48Z |
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