Academic Journal
Intelligent 3D Objects Classification for Vehicular Ad Hoc Network Based on Lidar and Deep Learning Approaches
| العنوان: | Intelligent 3D Objects Classification for Vehicular Ad Hoc Network Based on Lidar and Deep Learning Approaches |
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| المؤلفون: | de Sousa, Pedro Henrique Feijo, Almeida, Jefferson Silva, Ohata, Elene Firmeza, Nogueira, Fabricio Gonzalez, Torrico, Bismark Claure, de Albuquerque, Victor Hugo Costa, Hassan, Mohammad Mehedi, Kumar, Neeraj, Hassan, Md. Rafiul, Filho, Pedro Pedrosa Reboucas |
| المساهمون: | King Saud University, Riyadh, Saudi Arabia, under Researchers Supporting Project, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brazil, University of Maine System, USA |
| المصدر: | IEEE Transactions on Intelligent Transportation Systems ; volume 23, issue 10, page 19807-19816 ; ISSN 1524-9050 1558-0016 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE) |
| سنة النشر: | 2022 |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | unknown |
| DOI: | 10.1109/tits.2021.3119132 |
| الاتاحة: | http://dx.doi.org/10.1109/tits.2021.3119132 http://xplorestaging.ieee.org/ielx7/6979/9916643/09594718.pdf?arnumber=9594718 |
| Rights: | https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html ; https://doi.org/10.15223/policy-029 ; https://doi.org/10.15223/policy-037 |
| رقم الانضمام: | edsbas.E62438AF |
| قاعدة البيانات: | BASE |
| DOI: | 10.1109/tits.2021.3119132 |
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