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Fabian Rücker

Publications and source records attributed to Fabian Rücker.

4 recordsLinked to original sources

Beyond QWERTY: A pressure-based text input approach for XR that enables a touch-typing like experience

Text input in extended reality (XR) applications remains inefficient and tedious. Most solutions are derived from the traditional keyboard layout, yet fail to translate its positive characteristics to the spatial digital realm. This limits the productive use of immersive technologies. In this work, we analyze physical keyboard input to identify key characteristics that facilitate its comfort, touch typing and high typing speeds. Building on these findings, we propose a novel pressure-based text input modality that transfers these characteristics into immersive space by substituting the two-dimensional QWERTY layout with a linear scale. This design facilitates a touch-typing-like experience, eliminating the need for visual guidance for proficient users. Our skill-based approach enables typing speeds of over 200 characters per minute. Additionally, it is suitable for discreet use in public spaces and everyday text-input tasks, since the proposed system requires virtually no hand or finger movements and resembles smartphone-based text input in appearance.

cs.HC

Detection and Pose Estimation of flat, Texture-less Industry Objects on HoloLens using synthetic Training

Current state-of-the-art 6d pose estimation is too compute intensive to be deployed on edge devices, such as Microsoft HoloLens (2) or Apple iPad, both used for an increasing number of augmented reality applications. The quality of AR is greatly dependent on its capabilities to detect and overlay geometry within the scene. We propose a synthetically trained client-server-based augmented reality application, demonstrating state-of-the-art object pose estimation of metallic and texture-less industry objects on edge devices. Synthetic data enables training without real photographs, i.e. for yet-to-be-manufactured objects. Our qualitative evaluation on an AR-assisted sorting task, and quantitative evaluation on both renderings, as well as real-world data recorded on HoloLens 2, sheds light on its real-world applicability.

cs.CV

A Comprehensive Electric Vehicle Model for Vehicle-to-Grid Strategy Development

An electric vehicle model is developed to characterize the behavior of the Smart e.d. (2013) while driving, charging and providing vehicle-to-grid services. The battery model is an electro-thermal model with a dual polarization equivalent circuit electrical model coupled with a lumped thermal model with active liquid cooling. The aging trend of the EV's 50 Ah large format pouch cell with NMC chemistry is evaluated via accelerated aging tests in the laboratory. The EV model is completed with the measurement of the on-board charger efficiency and the charging control behavior via IEC 61851-1. Performance of the model is validated using laboratory pack tests, charging and driving field data. The RMSE of the cell voltage was between 18.49 mV and 67.17 mV per cell for the validation profiles. Cells stored at 100 % SOC and 40 $^{\circ}C$ reached end-of-life (80 % of initial capacity) after 431 days to 589 days. The end-of-life for a cell cycled with 80 % DOD around an SOC of 50 % is reached after 3634 equivalent full cycles which equates to a driving distance of over 420000 km. The full parameter set of the model is provided to serve as a resource for vehicle-to-grid strategy development.

eess.SY

The Influence of Frequency Containment Reserve Flexibilization on the Economics of Electric Vehicle Fleet Operation

In recent years, the market for frequency containment reserve (FCR) has become a relevant source of revenue for stationary battery storage systems in Germany. During this period, prices for FCR have decreased, while the market has become increasingly flexible with shorter service periods and lower minimum power requirements. This flexibility makes the market attractive for pools of electric vehicles (EVs). Their idle times are now often longer than FCR service periods, providing the opportunity to earn additional revenue. In this paper, multi-year measurement data from 22 commercial EVs are used to develop a simulation model for FCR commercialization. In addition, the driving logbooks of more than 460 vehicles from different commercial fleets are analyzed. Based on our simulations, the impact of FCR flexibilization on the economics of an EV pool is analyzed using the German FCR market design from 2011 to 2020. It is shown that depending on the fleet, especially the recent change in service periods from one week to four hours generates the largest increase in available pool power. Further reductions in FCR service periods will like produce minor benefits, as idle times are often longer than service periods. Overall, the increase in flexibility greatly offsets the decreasing FCR prices and leads to higher revenues for most fleets analyzed. According to our model, revenues of about 250 EUR/a to 400 EUR/a could have been achieved per EV in the German FCR market in 2020.

eess.SY