Publication | Open Access
Dempster-Shafer based multi-view occupancy maps
17
Citations
3
References
2010
Year
EngineeringField RoboticsMulti-sensor Information FusionLocalizationMulti-view Occupancy MapsImage AnalysisData ScienceSensor FusionComputational GeometryCartographyMachine VisionVehicle LocalizationComputer ScienceStructure From MotionGround OccupanciesComputer Vision3D VisionOdometryNatural SciencesOccupancy MapsMulti-view GeometryOccupancy Evidence
Presented is a method for calculating occupancy maps with a set of calibrated and synchronised cameras. In particular, Dempster-Shafer based fusion of the ground occupancies computed from each view is proposed. The method yields very accurate occupancy detection results and in terms of concentration of the occupancy evidence around ground truth person positions it outperforms the state-of-the-art probabilistic occupancy map method and fusion by summing.
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