@inproceedings{PB-VRVis-2017-024,
author = {Ciambrone, Andrew and Gra{\v{c}}anin, Denis and Matkovi{\'c}, Kresimir},
title = {A Sensor Fusion Approach to Extending Range of Environment Mapping Devices},
year = {2017},
booktitle = {SCCG '17: Proceedings of the 33rd Spring Conference on Computer Graphics},
editor = {n.n.},
url = {https://www.vrvis.at/publications/PB-VRVis-2017-024},
publisher = {ACM},
abstract = {Currently available commercial spatial mapping devices mostly  use infrared camera to obtain a depth map which is effective only  for short to medium distances (3-4 meters). However, that range  can be extended by using existing environment mapping devices  and techniques and a combination of a camera, Inertial  Measurement Unit, and Light Detection and Ranging devices  supported by sensor fusion and computer vision techniques. The  proposed approach consists of three steps. The first step is data  collection and data fusion using embedded hardware; the second  step is data processing (segmentation) and the third step is  creating a geometry mesh of the environment. The developed system  was evaluated by measuring the room dimension and objects within  the room. This low cost system can expand the mapping range of  the existing mixed reality devices such as Microsoft HoloLens  device.},
}