EPJ Web Conf.
Volume 153, 2017ICRS-13 & RPSD-2016, 13th International Conference on Radiation Shielding & 19th Topical Meeting of the Radiation Protection and Shielding Division of the American Nuclear Society - 2016
|Number of page(s)||11|
|Section||1. Nuclear Data, Radiation Detection, Measurements & Dosimetry|
|Published online||25 September 2017|
Visual Simultaneous Localization And Mapping (VSLAM) methods applied to indoor 3D topographical and radiological mapping in real-time
1 AREVA D&S, Technical Department, 1 route de la Noue 91196 Gif-sur-Yvette, France
2 AREVA D&S Technical Department, Marcoule, France
3 CSNSM (IN2P3/CNRS), Bat 104 et 108, 91405 Orsay, France
4 AREVA Corporate, Innovation Department, 1 place Jean Millier, 92084 Paris La Défense, France
* Corresponding author: firstname.lastname@example.org
Published online: 25 September 2017
New developments in the field of robotics and computer vision enables to merge sensors to allow fast realtime localization of radiological measurements in the space/volume with near-real time radioactive sources identification and characterization. These capabilities lead nuclear investigations to a more efficient way for operators’ dosimetry evaluation, intervention scenarii and risks mitigation and simulations, such as accidents in unknown potentially contaminated areas or during dismantling operations
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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