Drive&Act dataset

by Manuel MartinResearch Only

Drive&Act dataset

The Drive&Act dataset is a state of the art multi modal benchmark for action recognition in automated vehicles. It offers following key features: 12h of video data in 29 long sequences Calibrated multi view camera system with 5 views Multi modal videos: NIR, Depth and Color data Markerless motion capture: 3D Body Pose and Head Pose Model of the static interior of the car 83 manually annotated hierarchical activity labels: Level 1: Long running tasks (12) Level 2: Semantic actions (34) Level 3: Object Interaction tripplets [action|object|location] (6|17|14)

Dataset Attributes

Label SVG
TasksClassification
Label SVG
CategoriesDriving, Actions, Behaviour
Label SVG
SensorRGB Camera

Class Labels

Fastening SeatbeltOpen LaptopWorking on LaptopFetching ObjReading Newspap.Putting on JacketInteractingReaching forPlacingSeatbeltLaptopNewspaperNo LocationRight BacksearLapCo-driver door