Location as a service with a MEC architecture
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866908834456403968 |
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| author | Schahn, Christopher Kouril, Jorin Schaeufele, Bernd Radusch, Ilja |
| author_facet | Schahn, Christopher Kouril, Jorin Schaeufele, Bernd Radusch, Ilja |
| contents | In recent years, automated driving has become viable, and advanced driver assistance systems (ADAS) are now part of modern cars. These systems require highly precise positioning. In this paper, a cooperative approach to localization is presented. The GPS information from several road users is collected in a Mobile Edge Computing cloud, and the characteristics of GNSS positioning are used to provide lane-precise positioning for all participants by applying probabilistic filters and HD maps. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_13358 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Location as a service with a MEC architecture Schahn, Christopher Kouril, Jorin Schaeufele, Bernd Radusch, Ilja Networking and Internet Architecture Robotics In recent years, automated driving has become viable, and advanced driver assistance systems (ADAS) are now part of modern cars. These systems require highly precise positioning. In this paper, a cooperative approach to localization is presented. The GPS information from several road users is collected in a Mobile Edge Computing cloud, and the characteristics of GNSS positioning are used to provide lane-precise positioning for all participants by applying probabilistic filters and HD maps. |
| title | Location as a service with a MEC architecture |
| topic | Networking and Internet Architecture Robotics |
| url | https://arxiv.org/abs/2602.13358 |