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EN
Mining plants liquidatingtheunnecessary objects, especially shafts, encounter difficulties related mainly to the selectionof appropriate technology. In this material, we present solutions fortwo more difficult cases. The first consists in liquidating the shaft without making dams and maintaining the water permeability of the backfilling(Głowacki shaft), while the second one is the liquidation of the shaft, leaving theladder compartment, pipelines and with the so-called artificial bottom which isin the shaft (Jas II shaft).
EN
Eye tracking systems are mostly video-based methods which require significant computation to achieve good accuracy. An alternative method with comparable accuracy but less computational expense is 2D microelectromechanical (MEMS) mirror scanning. However, this technology is relatively new and there are not many publications on it. The purpose of this study was to examine how individual parameters of system components can affect the accuracy of pupil position estimation. The study was conducted based on a virtual simulator. It was shown that the optimal detector field of view (FOV) depends on the frequency ratio of the MEMS mirror axis. For a value of 1:13, the smallest errors were at 0.1°, 1.65°, 2.3°, and 2.95°. The error for the impact of the signal sampling rate above 3 kHz stabilizes at 0.065° and no longer changes its value regardless of increasing the number of samples. The error for the frequency ratio of the MEMS mirror axis increases linearly in the range of 0.065°-0.1°up to the ratio of 1:230. Above this there is a sudden increase to the average value of 0.3°. The conducted research provides guidance in the selection of parameters for the construction of eye tracking MEMS mirror-based systems.
EN
Virtual reality (VR) has become a realistic alternative to conventional learning methods in numerous fields including military training. Accurate and precise tracking of a user wearing a head-mounted display is necessary to achieve an immersive VR experience. The widely available SteamVR system, where licensed users can design and construct trackers optimized for a given application can be an alternative to very expensive professional motion tracking. This paper presents the complete design process of a SteamVR tracker dedicated to a shooting simulation in a VR environment. We describe the optimization and simulation of the tracker’s shape and configuration of the sensors. In the simulation phase the developed model had better parameters than its commercial counterparts. Next, the optimized prototype was constructed and configured. The dedicated and automated measuring arrangement provided experimental verification of the tracker’s performance. Tracking performance as well as the accuracy and precision of both position and orientation measurements were determined and compared with simulations, which proved that the simulation software can accurately predict selected properties of the proposed tracker.
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