Digital Cognitive Companion for Marine Vessels
Project: Dissertation › Individual research project
- Terrain-Aided Navigation: GPS and other GNSS systems are in most cases providing an accurate position estimation. In some situations, they can not be fully trusted, though. In this sub-project, we have used a particle filter to compare bottom depth measurements, magnetic intensity measurements, and bearings to known landmarks with known maps. By this fusion of information sources, we have created a robust method for position estimation.
- Remote supervision of an unmanned surface vessel via Virtual Reality: In this sub-project, we have designed a user interface for remote supervision of an unmanned surface vessel. In a real-world scenario, there is often a limit in the bandwidth between the ship and the user that controls the ship remotely, which prohibits video streams and the usage of high-resolution images. By this, we have used a virtual environment, which has been complemented with small objects detected by the remote vessel. We have conducted a user study, which has shown that the Virtual Reality (VR) approach strengthens the situational awareness capability, and increases the user's ability to detect dangerous situations.
|Effective start/end date||2016/01/01 → 2020/10/01|
2015/10/01 → 2029/12/31
Related research output
Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Research output: Thesis › Licentiate Thesis