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Above water, both lidar-based mapping and photogrammetric methods are used; underwater, bathymetry data is obtained using sonar. The interface to the operator is realized by an interactive digital map table, which allows intuitive mission specification and evaluation.<\/jats:p>","DOI":"10.1515\/auto-2021-0145","type":"journal-article","created":{"date-parts":[[2022,5,12]],"date-time":"2022-05-12T07:18:48Z","timestamp":1652339928000},"page":"482-495","source":"Crossref","is-referenced-by-count":4,"title":["Autonomously mapping shallow water environments under and above the water surface"],"prefix":"10.1515","volume":"70","author":[{"given":"Angelika","family":"Zube","sequence":"first","affiliation":[{"name":"Fraunhofer IOSB , Karlsruhe , Germany , Fraunhofer Research Center Machine Learning"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4626-6301","authenticated-orcid":false,"given":"Dominik","family":"Kleiser","sequence":"additional","affiliation":[{"name":"Fraunhofer IOSB , Karlsruhe , Germany , Fraunhofer Research Center Machine Learning"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5238-9167","authenticated-orcid":false,"given":"Alexander","family":"Albrecht","sequence":"additional","affiliation":[{"name":"Fraunhofer IOSB , Karlsruhe , Germany , Fraunhofer Research Center Machine Learning"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1212-302X","authenticated-orcid":false,"given":"Philipp","family":"Woock","sequence":"additional","affiliation":[{"name":"Fraunhofer IOSB , Karlsruhe , Germany , Fraunhofer Research Center Machine Learning"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0915-9654","authenticated-orcid":false,"given":"Thomas","family":"Emter","sequence":"additional","affiliation":[{"name":"Fraunhofer IOSB , Karlsruhe , Germany , Fraunhofer Research Center Machine Learning"}]},{"given":"Boitumelo","family":"Ruf","sequence":"additional","affiliation":[{"name":"Institute of Photogrammetry and Remote Sensing , Karlsruhe Institute of Technology (KIT) , Karlsruhe , Germany"}]},{"given":"Igor","family":"Tchouchenkov","sequence":"additional","affiliation":[{"name":"Fraunhofer IOSB , Karlsruhe , Germany , Fraunhofer Research Center Machine Learning"}]},{"given":"Aleksej","family":"Buller","sequence":"additional","affiliation":[{"name":"Fraunhofer IOSB , Karlsruhe , Germany , Fraunhofer Research Center Machine Learning"}]},{"given":"Boris","family":"Wagner","sequence":"additional","affiliation":[{"name":"Fraunhofer IOSB , Karlsruhe , Germany , Fraunhofer Research Center Machine Learning"}]},{"given":"Ganzorig","family":"Baatar","sequence":"additional","affiliation":[{"name":"Fraunhofer IOSB-AST , Ilmenau , Germany , Fraunhofer Research Center Machine Learning"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4715-8908","authenticated-orcid":false,"given":"Janko","family":"Petereit","sequence":"additional","affiliation":[{"name":"Fraunhofer IOSB , Karlsruhe , Germany , Fraunhofer Research Center Machine Learning"}]}],"member":"374","published-online":{"date-parts":[[2022,5,12]]},"reference":[{"key":"2023033111412075844_j_auto-2021-0145_ref_001","doi-asserted-by":"crossref","unstructured":"Barbier, M., E. 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