Next generation of advanced offshore mechatronic systems for autonomous operation and condition monitoring of offshore equipment and systems under the control of land-based operation centers, to ensure safe and efficient operation in deeper water and in harsh environments. The project is funded via The Centres for Research-based Innovation scheme by the Research Council of Norway. The consortium is a mix of 17 academic and company partners. More informations can be found at the SFI Offshore Mechatronics website.
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Replication Data for: Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.
Jan 31, 2019
Aalerud, Atle, 2019, "Replication Data for: Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.", https://doi.org/10.18710/VIJXTL, DataverseNO, V1
Replication Data in the form of a Robot Operating System (ROS) recording (ROS-bag) to replicate the results of the paper "Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers." The contents of the dataset are timestamped images and po...
Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening
Jun 23, 2021
Dybedal, Joacim, 2021, "Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening", https://doi.org/10.18710/HMJVFM, DataverseNO, V2
Dataset used to train and test a human classifier in the article "CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening". The set contains both the raw point cloud data from an outdoor test site, as well as generated images used for t...
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