Details
- Mission objective
- Objective 1a - Protect and restore marine and coastal ecosystems and biodiversityEnabler 1 - Ocean digital knowledge system
- Lighthouse
- Cross-basin
- Sector
- Tech and ocean observation
- Topic(s)
- RoboticsMachine learningOcean observation
- Type of action
- Research and Innovation
- Type of knowledge output
- Report (research paper, policy report, white paper, guidelines, case studies, best practices, etc)
- Solution owner
- CLIMAREST
- Country
- Norway
Description
This publication explores computing research in underwater environments, focusing on positioning methods. Unlike on land, underwater lacks a common positioning system. Dead reckoning, which estimates position changes from a known point, is promising but untested underwater. The report presents AEOLUS, a prototype for testing 15 different algorithms in both ground and underwater settings. Results show that while displacement and turn errors can be estimated within 5% error, the best methods differ between land and underwater. Performance also varies based on motion patterns, with some algorithms excelling in sharp turns and others in gradual turns
