ROAM@CRAS - A haRbor multidOmAin Mapping dataset
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ReadmeTXT
Papildus informācija
Lauks | Vērtība |
---|---|
Avots | Project DIIUS - Distributed perceptIon for inspectIon of aqUatic Structures - http://diius.inesctec.pt/ |
Autors | Daniel Filipe Campos |
Pēdējā atjaunināšana | maijs 27, 2024, 13:05 (UTC) |
Izveidots | septembris 11, 2020, 17:49 (UTC) |
Citation | CAMPOS, D.F., LEITE, P.N., SILVA, R., PEREIRA, M.I., MARQUES, R., PINTO, A.M. ROAM@CRAS - A haRbor multidOmAin Mapping dataset [dataset]. 11 September 2020. INESC TEC research data repository. DOI: https://doi.org/10.25747/66gt-m481 |
Contributor | Pedro Nuno Leite; Renato Silva; Maria Inês Pereira; Rafael Marques; Andry Maykol Pinto |
DOI | https://doi.org/10.25747/66gt-m481 |
Date | 09 July 2020 |
Formāts | *.bag |
Instrument | SENSE with GPS (Swift Navigation Piksi Multi and Vk-162 Glonass Navigation), IMU (Xsens MTi-30 and Sparkfun Razor IMU 9DOF), 3D LiDAR (Velodyne VLP-16), Multibeam Echosounder (Imagenex ”Delta T” 837B), Stereo Camera (Mynt Eye D) |
Instrument Type | Autonomous Surface Vehicle with GPS, IMU, 3D LiDAR, Multibeam Echosounder, Stereo Cameras |
Valoda | EN |
Publisher | INESC TEC |
Relation | https://github.com/danielfbcampos/ROAM-CRAS |
Size | XXGB |
Software | Software: ROS Melodic |
Spatial Coverage | Marina de Leça, Porto, Portugal |
Temporal Coverage | 20 min during the morning of 09 July 2020 |
Type | ROS Bag (.bag) |