Projektdetails
Goal of the project
Advancements in connected and maritime vehicles are severely constrained by the limitations of existing communication methodologies and data exchange information. Therefore, the goal is to improve data quality, interconnectivity and interoperability between assets in the maritime and inland waterway environment. This will be achieved by allowing secure and verified direct and indirect communication between assets. The exchanged data information will be extended with additional sensor information to efficiently represent and communicate shared situational awareness. This sensor data extension, representation and communication is a crucial step towards efficient and flexible interoperability.
Role of the organisation
RMA focuses on the interoperability aspects and collaborative strategies between heterogeneous maritime assets.
| Akronym | SSAVE |
|---|---|
| Status | Abgeschlossen |
| Tatsächlicher Beginn/ -es Ende | 1/10/19 → 31/03/22 |
Projektbeteiligte
- Royal Military Academy (Leitung)
- DEME ENVIRONMENTAL CONTRACTORS NV
- DREDGING INTERNATIONAL NV
- Interuniversitair Micro-Electronica Centrum vzw
- Katholieke Universiteit Leuven
- TRESCO ENGINEERING BVBA
- DOTOCEAN NV
RHID domain
- DAP
Fingerprint
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Publikationen
- 1 Konferenzartikel
-
Deep Learning based Object Detection and Tracking for Maritime Situational Awareness
Lahouli, R., De Cubber, G., Pairet, B., Hamesse, C., Fréville, T. & Haelterman, R., 2022, in: Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 4, S. 643-650 8 S.Publikation: Beitrag in Fachzeitschrift › Konferenzartikel › Begutachtung
Open Access3 Zitate (Scopus)