the Control of Networked Systems group at the University of Klagenfurt published the INSANE data set (INSANE: Cross-Domain UAV Data Sets with Increased Number of Sensors for developing Advanced and Novel Estimators). The data set focuses on UAV localization and provides multi-sensor data (including vision) as well as additional data for vehicle integrity analysis. Depending on the context, the best category is probably "image processing". It would be great if you could add the data set to your list.
Description
INSANE data set, a multi-sensor cross-domain UAV data set (18 sensors) with accurate and absolute 6 DoF ground truth. The scenarios include indoor flights in a controlled environment with motion capture ground truth, outdoor-to-indoor transition flights with continuous ground truth, and extensive coverage of Mars analog data with the same vehicle. Mars analog data includes segments with various ground structures, cliff flight over, and cliff-wall traversing trajectories for mapping.
This data set is ideal for testing novel algorithms with real-world sensor data and corresponding effects such as sensor degradation. Dedicated raw data for customized sensor calibration routines and vibration data for vehicle integrity tests are provided.
Hello,
the Control of Networked Systems group at the University of Klagenfurt published the INSANE data set (INSANE: Cross-Domain UAV Data Sets with Increased Number of Sensors for developing Advanced and Novel Estimators). The data set focuses on UAV localization and provides multi-sensor data (including vision) as well as additional data for vehicle integrity analysis. Depending on the context, the best category is probably "image processing". It would be great if you could add the data set to your list.
Description INSANE data set, a multi-sensor cross-domain UAV data set (18 sensors) with accurate and absolute 6 DoF ground truth. The scenarios include indoor flights in a controlled environment with motion capture ground truth, outdoor-to-indoor transition flights with continuous ground truth, and extensive coverage of Mars analog data with the same vehicle. Mars analog data includes segments with various ground structures, cliff flight over, and cliff-wall traversing trajectories for mapping.
This data set is ideal for testing novel algorithms with real-world sensor data and corresponding effects such as sensor degradation. Dedicated raw data for customized sensor calibration routines and vibration data for vehicle integrity tests are provided.
Data set links Dataset Website: https://sst.aau.at/cns/datasets Pre-Print of the paper: https://arxiv.org/abs/2210.09114