Unique Realistic & Challenging Datasets
The TRADR use cases involve response to a medium to large scale industrial accident by human rescuers team and robot team consisting of both UGVs and UAVs. For exercise and evaluation purpose, we simultaneously run the entire TRADR-system in sites such as shut down blast furnace, destroyed hospital complex, but also actual earthquake areas. The sorties are characterized by the following unique facts:
The operation environments are real industry and disaster sites restricted for civilians. Thus, they are highly realistic regarding environment structure. Shut down industrial site contains typical industrial structure with complex architectural and machinary structures indoors and outdoors. An earthquake site show a lot of complex damaged unstructured terrain and buildings.
Our sorties run under realistic challenging sensing conditions. For example, flexibly combining various sensors depending on the spontaneous need, the spatial relation among the sensors are often unknown. Also, the datasets exhibit partial data absence which can occur in real scenarios because of technical issues or environmental conditions such as visibility condition. We e.g. use fog machines for our exercises.
Our intention is to exploit all the various types of sensor data acquired during the exercise and evaluation sorties to provide realistic and challenging evaluation opportunities for USAR(urban search and rescue) robotics. In particular, we are interested in environment modeling and analysis applications using multiple types of sensors.
Currently available datasets are:
“UGV (Delta) Datasets“ collected in different locations. The dataset consists of several ROS-bag files with all the available sensors on the platform.
“UAV Datasets” coming soon …
There are two different kinds of robots involved in a TRADR mission: Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UAVs). The TRADR ground robots are flexibly equipped with different types of sensors like RGB-camera, laser scanner, stereo-camera, thermo-camera etc..
These datasets are released under the Creative Commons license. It is free to share and adapt the datasets for non-commercial purposes in the way specified in the license terms (https://creativecommons.org/licenses/by-nc-sa/3.0/).