REMARO summer school 2022 data
doi:10.4121/20208710.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/20208710
doi: 10.4121/20208710
Datacite citation style:
Rezende Silva, Gustavo (2022): REMARO summer school 2022 data. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/20208710.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
usage stats
837
views
316
downloads
geolocation
The pond at TU Delft Faculty of 3ME, The Netherlands
lat (N): 52.002171
lon (E): 4.371205
view on openstreetmap
licence
CC BY 4.0
Sonar and MAVROS data recored in ros2 bag format using ROS.
Recordings were performed using a BlueROV2 robot equipped with Ping360 sonar.
ROS setup:
- ROS2 Foxy
- Ping360 sonar ROS2 package: https://github.com/CentraleNantesRobotics/ping360_sonar/tree/3ade26c7a6f22cc4f50488ae578282b36e150a04
- MAVROS: https://github.com/mavlink/mavros/commit/227b3accf7d16c7f0c468da25125e164de3ff292
Data was recorded at TU Delft 3me pond 01-07-2022.
Data was colleted during the REMARO summer school 2022.
This data will be used in the activities of REMARO (https://remaro.eu/) project.
history
- 2022-07-01 first online, published, posted
publisher
4TU.ResearchData
format
ROS2 bag formats
references
funding
- Reliable AI for Marine Robotics (grant code 956200) [more info...] European Commission
organizations
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering, Department of Cognitive Robotics (CoR). REMARO.
DATA
files (2)
- 18,655 bytesMD5:
83db4a14279c59743cb65cf6f36f5348
README - 31,196,417 bytesMD5:
1343f91cc32528f4a9ec345a160c54b4
TU DELFT REMARO SUMER SCHOOL ROSBAGS.zip -
download all files (zip)
31,215,072 bytes unzipped