A Survey on Deep Learning-Based Vehicular Communication Applications
| العنوان: | A Survey on Deep Learning-Based Vehicular Communication Applications |
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| المؤلفون: | Ta-Sung Lee, Yen Jung Wu, Yu-Chien Lin, Chia-Hung Lin, Wei-Ho Chung |
| المصدر: | Journal of Signal Processing Systems. 93:369-388 |
| بيانات النشر: | Springer Science and Business Media LLC, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Information transmission, Computer science, business.industry, End user, Deep learning, 020206 networking & telecommunications, 02 engineering and technology, Traffic flow, Data science, Theoretical Computer Science, Hardware and Architecture, Control and Systems Engineering, Modeling and Simulation, Signal Processing, Pattern recognition (psychology), 0202 electrical engineering, electronic engineering, information engineering, Local environment, 020201 artificial intelligence & image processing, Artificial intelligence, business, Intelligent transportation system, Information Systems |
| الوصف: | Besides the use of information transmission, vehicular communications also perform an essential role in intelligent transportation systems (ITS) for exchanging critical driving information among end users, vehicles, and infrastructures. Moreover, to enhance the understanding of the local environment, increasingly more data are collected by sensors, inducing an extensive use of deep learning (DL)-based algorithms in ITS. To further promote the development of DL-based algorithms in ITS, in this paper, we present a concise introduction of DL technologies. Then, we conduct an in-depth investigation on two popular DL-based applications used in ITS, traffic flow forecasting and trajectory prediction, focusing on when and how the authors employ different DL models and training schemes in these tasks. Finally, we raise two existing problems while employing DL-based algorithms in practical ITS and further discuss certain recent advances in DL-based research to tackle these challenges. To encourage more researchers to focus on the development of DL-based algorithms in ITS for a better world, we hope this paper can be treated as an informational material for prospective researchers, which contains the essential background knowledge of DL-based ITS applications; we also hope this paper will encourage experienced researchers to counter the open challenges and achieve a technical breakthrough to ITS. |
| تدمد: | 1939-8115 1939-8018 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::b4f398fe9eb0a4fbcf4481382ef11522 https://doi.org/10.1007/s11265-020-01587-2 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........b4f398fe9eb0a4fbcf4481382ef11522 |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 19398115 19398018 |
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