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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WebM Video - 6.1 MB - MD5: fcab6e3cfa702219d333d665bef2904a
Screencast from RVIZ showing detected humans on the 4 human outdoor dataset.
ZIP Archive - 8.4 MB - MD5: f21639bb41e0616852a42a2777feefc8
The images used for training the classifier, including images from both outdoor and indoor datasets. Divided into "Human" and "Not Human".
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...
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