Please use this identifier to cite or link to this item:
https://doi.org/10.48441/4427.1503
Title: | First results of a low-cost visual odometry approach for autonomous underwater localization and fish habitat mapping | Language: | English | Authors: | Zach, Juri Tiedemann, Tim |
Issue Date: | Oct-2023 | Is supplement to: | https://drive.google.com/drive/folders/1VZdogs0yVqrjzXGfrBSlqFP_ZkaAL66P | Project: | Autonome Tauchroboter - gestützte Beobachtung von Fischschwärmen | Conference: | International Conference on Intelligent Robots and Systems 2023 | URI: | http://hdl.handle.net/20.500.12738/15394 | DOI: | 10.48441/4427.1503 | Review status: | This version was peer reviewed (peer review) | Institute: | Forschungs- und Transferzentrum Smart Systems Department Informatik Fakultät Technik und Informatik |
Type: | Poster | Additional note: | In: IEEE IROS 2023 2nd Advanced Marine Robotics TC Workshop. Funded by the Hamburg LFF FV initiative within the scope of the research project “AuTag BeoFisch” (LFF-FV91). | Funded by: | Behörde für Wissenschaft, Forschung, Gleichstellung und Bezirke |
Appears in Collections: | Publications with full text |
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File | Description | Size | Format | |
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iros2023_zach_tiedemann_AuTag_BeoFisch_compr.pdf | Poster PDF, accepted and presented at IEEE IROS 2023 2nd Advanced Marine Robotics TC Workshop: Towards Long-term Marine Robotics | 864.08 kB | Adobe PDF | View/Open |
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