The UAH-DriveSet
The UAH-DriveSet is a public collection of data captured by our driving monitoring app DriveSafe by various testers in different environments. This dataset tries to facilitate progress in the field of driving analysis by providing a large amount of variables that were captured and processed by all the sensors and capabilities of a smartphone during independent driving tests. The application was run on 6 different drivers and vehicles, performing 3 different behaviors (normal, drowsy and aggressive) on two types of roads (motorway and secondary road), resulting in more than 500 minutes of naturalistic driving with its associated raw data and additional semantic information, together with the video recordings of the trips.
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RobeSafe Driver Monitoring Video Dataset (RS-DMV)
The RS-DMV dataset is a set of video sequences of drivers, recorded with cameras installed over the dashboard. The dataset currently contains 10 video sequences. The drivers were fully awake, talked frequently and were asked to look regularly to rear-view mirrors and operate the car sound system. Sequences contain occlusions, illumination changes and other elements that are problematic to face tracking and driver monitoring systems using computer vision.
Frames are recorded in gray-scale, at 30 frames per second, and stored as RAW video. Frame size of outdoor videos is 960x480 pixels, and 1390x480 for indoor videos. Faces in the videos have been marked with 20 points.
The RS-DMV was created by the RobeSafe Research Group of the Dpt. of Electronics of the UAH. Videos recorded in a simulator were recorded under the CABINTEC project.
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