تقرير
Monetisation of and Access to in-Vehicle data and resources: the 5GMETA approach
| العنوان: | Monetisation of and Access to in-Vehicle data and resources: the 5GMETA approach |
|---|---|
| المؤلفون: | Kountche, Djibrilla Amadou, Raissi, Fatma, Rakotondravelona, Mandimby Ranaivo, Bonetto, Edoardo, Brevi, Daniele, Martin, Angel, Otaegui, Oihana, Velez, Gorka |
| سنة النشر: | 2022 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computers and Society, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Networking and Internet Architecture |
| الوصف: | Today's vehicles are increasingly embedded with computers and sensors which produce huge amount of data. The data are exploited for internal purposes and with the development of connected infrastructures and smart cities, the vehicles interact with each other as well as with road users generating other types of data. The access to these data and in-vehicle resources and their monetisation faces many challenges which are presented in this paper. Furthermore, the most important commercial solution compared to the open and novel approach faced in the H2020 5GMETA project. Comment: ITS World Congress 2021 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2208.11335 |
| رقم الأكسشن: | edsarx.2208.11335 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |