| Autor: |
Mikel García, Itziar Urbieta, Marcos Nieto, Javier González de Mendibil, Oihana Otaegui |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Vehicles, Vol 4, Iss 1, Pp 42-59 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2624-8921 |
| DOI: |
10.3390/vehicles4010003 |
| Popis: |
Local dynamic map (LDM) is a key component in the future of autonomous and connected vehicles. An LDM serves as a local database with the necessary tools to have a common reference system for both static data (i.e., map information) and dynamic data (vehicles, pedestrians, etc.). The LDM should have a common and well-defined input system in order to be interoperable across multiple data sources such as sensor detections or V2X communications. In this work, we present an interoperable graph-based LDM (iLDM) using Neo4j as our database engine and OpenLABEL as a common data format. An analysis on data insertion and querying time to the iLDM is reported, including a vehicle discovery service function in order to test the capabilities of our work and a comparative analysis with other LDM implementations showing that our proposed iLDM outperformed in several relevant features, furthering its practical utilisation in advanced driver assistance system development. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
