Design, Implementation and Evaluation of an External Pose-Tracking System for Underwater Cameras
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Abstract (arXiv)
In order to advance underwater computer vision and robotics from lab environments and clear water scenarios to the deep dark ocean or murky coastal waters, representative benchmarks and realistic datasets with ground truth information are required. In particular, determining the camera pose is essential for many underwater robotic or photogrammetric applications and known ground truth is mandatory to evaluate the performance of e.g., simultaneous localization and mapping approaches in such extreme environments. This paper presents the conception, calibration and implementation of an external reference system for determining the underwater camera pose in real-time. The approach, based on an HTC Vive tracking system in air, calculates the underwater camera pose by fusing the poses of two controllers tracked above the water surface of a tank. It is shown that the mean deviation of this approach to an optical marker based reference in air is less than 3 mm and 0.3 deg. Finally, the usability of the system for underwater applications is demonstrated.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 4 of its 39 references that are in the map. First posted on arXiv 7 May 2023.
Builds on
4 of 39 references.
References · 4
- 2019A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensorscited by 45
- 2021Robotic Testbed for Rendezvous and Optical Navigation: Multi-Source Calibration and Machine Learning Use Casescited by 14
- 2017An Elementary Introduction to Kalman Filteringcited by 7
- 2021Refractive Geometry for Underwater Domescited by 6
Built on by
Citing papers per year: 2023: 1; 2024: 0; 2025: 0; 2026: 1.
2 papers.