DNN-Assisted Cooperative Localization in Vehicular Networks
This work develops a deep-learning-based cooperative localization technique for high localization accuracy and real-time operation in vehicular networks. In cooperative localization, the noisy observation of the pairwise distance and the angle between vehicles causes nonlinear optimization problems....
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-07-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/12/14/2758 |
| _version_ | 1818036107201216512 |
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| author | Jewon Eom Hyowon Kim Sang Hyun Lee Sunwoo Kim |
| author_facet | Jewon Eom Hyowon Kim Sang Hyun Lee Sunwoo Kim |
| author_sort | Jewon Eom |
| collection | DOAJ |
| description | This work develops a deep-learning-based cooperative localization technique for high localization accuracy and real-time operation in vehicular networks. In cooperative localization, the noisy observation of the pairwise distance and the angle between vehicles causes nonlinear optimization problems. To handle such a nonlinear optimization task at each vehicle, a deep neural network (DNN) technique is to replace a cumbersome solution of nonlinear optimization along with the saving of the computational loads. Simulation results demonstrate that the proposed technique attains some performance gain in localization accuracy and computational complexity as compared to existing cooperative localization techniques. |
| first_indexed | 2024-12-10T07:05:41Z |
| format | Article |
| id | doaj.art-1a07edd097b141738fea35ffddfa9372 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-12-10T07:05:41Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-1a07edd097b141738fea35ffddfa93722022-12-22T01:58:10ZengMDPI AGEnergies1996-10732019-07-011214275810.3390/en12142758en12142758DNN-Assisted Cooperative Localization in Vehicular NetworksJewon Eom0Hyowon Kim1Sang Hyun Lee2Sunwoo Kim3Department of Electronics and Computer Engineering, Hanyang University, Seoul 04763, KoreaDepartment of Electronics and Computer Engineering, Hanyang University, Seoul 04763, KoreaSchool of Electrical Engineering, Korea University, Seoul 02841, KoreaDepartment of Electronics and Computer Engineering, Hanyang University, Seoul 04763, KoreaThis work develops a deep-learning-based cooperative localization technique for high localization accuracy and real-time operation in vehicular networks. In cooperative localization, the noisy observation of the pairwise distance and the angle between vehicles causes nonlinear optimization problems. To handle such a nonlinear optimization task at each vehicle, a deep neural network (DNN) technique is to replace a cumbersome solution of nonlinear optimization along with the saving of the computational loads. Simulation results demonstrate that the proposed technique attains some performance gain in localization accuracy and computational complexity as compared to existing cooperative localization techniques.https://www.mdpi.com/1996-1073/12/14/2758cooperative localizationdeep neural networkinternet of vehiclemultilaterationvehicular networks |
| spellingShingle | Jewon Eom Hyowon Kim Sang Hyun Lee Sunwoo Kim DNN-Assisted Cooperative Localization in Vehicular Networks Energies cooperative localization deep neural network internet of vehicle multilateration vehicular networks |
| title | DNN-Assisted Cooperative Localization in Vehicular Networks |
| title_full | DNN-Assisted Cooperative Localization in Vehicular Networks |
| title_fullStr | DNN-Assisted Cooperative Localization in Vehicular Networks |
| title_full_unstemmed | DNN-Assisted Cooperative Localization in Vehicular Networks |
| title_short | DNN-Assisted Cooperative Localization in Vehicular Networks |
| title_sort | dnn assisted cooperative localization in vehicular networks |
| topic | cooperative localization deep neural network internet of vehicle multilateration vehicular networks |
| url | https://www.mdpi.com/1996-1073/12/14/2758 |
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