| Haelterman, Rob |
Information last updated: 2021-06-03 |
Royal Military Academy (RMA), more
|
| Book chapters (3) [show] |
- Lahouli, R.; De Cubber, G.; Pairet, B.; Hamesse, C.; Fréville, T.; Haelterman, R. (2022). Deep learning based object detection and tracking for maritime situational awareness, in: Farinella, G.M. et al. Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4
. pp. 643-650. https://dx.doi.org/10.5220/0010901000003124, more
- De Cubber, G.; Lahouli, R.; Doroftei, D.; Haelterman, R. (2020). Distributed coverage optimization for a fleet of unmanned maritime systems for a maritime patrol and surveillance application, in: 2020 23rd International Symposium on Measurement and Control in Robotics (ISMCR). pp. 6. https://dx.doi.org/10.1109/ISMCR51255.2020.9263740, more
- De Cubber, G.; Haelterman, R. (2019). Optimized distributed scheduling for a fleet of heterogeneous unmanned maritime systems, in: Harman, T.L. et al. 2019 IEEE International Symposium on Measurement and Control in Robotics (ISMCR). pp. 7. https://hdl.handle.net/10.1109/ISMCR47492.2019.8955727, more
|
|
