| Issue |
EPJ Nuclear Sci. Technol.
Volume 3, 2017
|
|
|---|---|---|
| Article Number | 15 | |
| Number of page(s) | 14 | |
| DOI | https://doi.org/10.1051/epjn/2017010 | |
| Published online | 07 June 2017 | |
https://doi.org/10.1051/epjn/2017010
Regular Article
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
⁎ e-mail: hautot@csnsm.in2p3.fr
Received:
26
September
2016
Received in final form:
20
March
2017
Accepted:
30
March
2017
Published online: 7 June 2017
New developments in the field of robotics and computer vision enable to merge sensors to allow fast real-time 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 scenarios and risks mitigation and simulations, such as accidents in unknown potentially contaminated areas or during dismantling operations. In this communication, we will present our current developments of an instrument that combines these methods and parameters for specific applications in the field of nuclear investigations.
© F. Hautot et al., published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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