TY - CHAP U1 - Konferenzveröffentlichung A1 - Larionov, Dmitry A1 - Lukashenko, Oleg A1 - Moschevikin, Alex A1 - Voronov, Roman A1 - Sikora, Axel T1 - Improving the Accuracy for Radio-Based Positioning in Mines Using SLAM T2 - IEEE IDAACS-SWS 2020 : 5th IEEE International Symposium on Smart and Wireless Systems within the International Conferences on Intelligent Data Acquisition and Advanced Computing Systems : Conference Proceedings N2 - During the day-to-day exploitation of localization systems in mines, the technical staff tends to incorrectly rearrange radio equipment: positions of devices may not be accurately marked on a map or their positions may not correspond to the truth. This situation may lead to positioning inaccuracies and errors in the operation of the localization system.This paper presents two Bayesian algorithms for the automatic corrections of positions of the equipment on the map using trajectories restored by the inertial measurement units mounted to mobile objects, like pedestrians and vehicles. As a basis, a predefined map of the mine represented as undirected weighted graph was used as input. The algorithms were implemented using the Simultaneous Localization and Mapping (SLAM) approach.The results prove that both methods are capable to detect misplacement of access points and to provide corresponding corrections. The discrete Bayesian filter outperforms the unscented Kalman filter, which, however, requires more computational power. Y1 - 2020 SN - 978-1-7281-9960-3 (digital) SB - 978-1-7281-9960-3 (digital) SN - 978-1-7281-9961-0 (Print on Demand) SB - 978-1-7281-9961-0 (Print on Demand) U6 - https://doi.org/10.1109/IDAACS-SWS50031.2020.9297088 DO - https://doi.org/10.1109/IDAACS-SWS50031.2020.9297088 SP - 7 S1 - 7 PB - IEEE ER -