Repository der Technischen Hochschule Ingolstadt
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Standpunktwechsel - Einsatz bewegter Hochschullehre in MINT Fächern
No full textStudierende sitzen oft über 11 Stunden täglich – ein gesund heitliches und lernpsychologisches Risiko. Die bewegte Hochschullehre nach dem Heidelberger Modell integriert gezielt Bewegung in Lehrveranstaltungen, z. B. durch Walk & Talk Formate. Zwei Module der Technischen Hochschule Nürnberg im MINT Bereich wurden entsprechend umgestaltet und evaluiert. Die Ergebnisse zeigen: Bewegung fördert nicht nur die Gesundheit, sondern unterstützt auch das langfristige Behalten von Lerninhalten. Besonders das Walk & Talk wurde positiv bewertet. Erfolgsfaktoren sind eine gute Einführung, klare Kommunikation des Mehrwerts sowie die kontinuierliche Anwendung. Bewegte Lehre kann klassische Formate sinnvoll ergänzen und wirkt motivierend, aktivierend und lernförderlich
Trust Calibration for RPA
No full textThis working group focused on foundational issues of trust in RPA: How we can conceptualize trust between users and software robots and specify it in a way that, eventually, we can measure that trust empirically
A Systematic Literature Review on Vehicular Collaborative Perception—A Computer Vision Perspective
No full textThe effectiveness of autonomous vehicles relies on reliable perception capabilities. Despite significant advancements in artificial intelligence and sensor fusion technologies, current single-vehicle perception systems continue to encounter limitations, notably visual occlusions and limited long-range detection capabilities. Collaborative Perception (CP), enabled by Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication, has emerged as a promising solution to mitigate these issues and enhance the reliability of autonomous systems. Beyond advancements in communication, the computer vision community is increasingly focusing on improving vehicular perception through collaborative approaches. However, a systematic literature review that thoroughly examines existing work and reduces subjective bias is still lacking. Such a systematic approach helps identify research gaps, recognize common trends across studies, and inform future research directions. In response, this study follows the PRISMA 2020 guidelines and includes 106 peer-reviewed articles. These publications are analyzed based on modalities, collaboration schemes, and key perception tasks. Through a comparative analysis, this review illustrates how different methods address practical issues such as pose errors, temporal latency, communication constraints, domain shifts, heterogeneity, and adversarial attacks. Furthermore, it critically examines evaluation methodologies, highlighting a misalignment between current metrics and CP’s fundamental objectives. By delving into all relevant topics in-depth, this review offers valuable insights into challenges, opportunities, and risks, serving as a reference for advancing research in vehicular collaborative perception
Evaluating optical performance degradation of automotive cameras under accelerated aging
No full textAutomotive cameras are subject to environmental stress, which degrades performance by reducing image sharpness. To qualify for automotive use and to ensure that the cameras maintain sharpness according to the hard requirements of end-of-line testing, cameras have to undergo standardized accelerated aging tests. These tests are performed to demonstrate reliability and functional safety over lifetime. Few studies have been published that demonstrate how aging contributes to the degradation of optical performance. This study addresses this gap by combining accelerated thermal aging with sharpness tracking to investigate degradation over time. To quantify sharpness degradation, six series-production cameras were subjected to accelerated thermal aging between −40◦ and +85◦. Each camera underwent 2000 aging cycles, equivalent to 80% of their lifetime based on the Coffin-Manson model of the LV124 standard. Sharpness was measured by calculating the Spatial Frequency Response (SFR) from images captured of a double-cross reticle projected by a virtual object generator with three illumination wavelengths (625nm, 520nm, and 470nm). The change in sharpness was evaluated with SFR50 and SFR at 60 line pairs per millimeter (SFR@60). During the first 250 cycles, a wear-in effect was observed, where sharpness increased before leveling off, as seen previously. The results also indicated a slow decline in sharpness showing long-term stability. Analysis indicated that before aging, the best focal plane was located closer to the focal position of the red wavelength, which lies furthest from the objective. By the end of the aging process, the best focal plane had shifted toward the focal position of the blue wavelength, which is located closer to the objective. This suggests a forward movement of the image sensor due to aging. Even after 2000 cycles, all cameras maintained an SFR@60 above 0.5. A Random Forest regression model was trained to predict the age based on the SFR curves, achieving a mean absolute error of 126 cycles and a 2 score of 0.96
Aplicarea inovațiilor în optimizarea gestiunii investițiilor la nivelul micro și macroeconomic
No full textActuality of the research topic is conditioned by the importance of investment management in the financial management of economic entities. Maintaining the dominant positions in the top of the best performing enterprises at national and international level can be achieved by applying innovations in improving investment management. The research topic aims are to define the models and principles of directing existing investments in world theory and practice and to implement innovations in investment management at the micro-economic level. The purpose and objectives of the research are to the concept of investment and their classification as well as to study the world practice of training and management of portfolio and capital investments. Determine the particularities of the formation of the optimal portfolio structure, the cost-effectiveness-risk relationship and the method of combating the risk of an investment portfolio. And applying innovations in solving the problems of training, management and combating investment risk. In order to achieve the purpose and objectives of the research, the methods of analysis and research that we have used: analysis, synthesis, induction, deduction, observation, generalization, the complex and systemic methodological approach of contemporary economic concepts. An important contribution was made by the experts Ulrike B. And Radeke J. From the German Economic team Moldova and the economists from Expert Group, who served as guidance and guidance point throughout the entire study, having at their core essential works that contributed enormously to the consolidation of the research level of that work. The results of the research would allow the identification and understanding of the functioning of a system of training and application of innovations in the process of improvement of the investment management of enterprises in the Republic of Moldova
A New Approach to Integrate Value Stream Analysis into a Continuous Energy Efficiency Improvement Process
No full textDriving Down Premiums: A Security and Forensic Analysis of the DriveWell Insurance System
No full textModern car insurance companies can dynamically adjust premiums with mobile sensor units that constantly record, analyze, and grade driving behavior. However, attackers can tamper with these systems to cheat the insurance company and reduce their premiums. We developed an attacker model for this threat in conjunction with a risk assessment using the ISO/SAE 21434 Risk Rating Methodology, a widely accepted standard for evaluating and managing risks in automotive systems. To support and showcase our model, we examined the static IT security of the mobile sensor unit DriveWell and its companion Android application HUK Mein Auto. In particular, we utilized digital forensic tools to analyze the stored data in the sensor’s internal storage and the app’s smartphone storage, with a focus on encryption mechanisms for locally stored data and internet communication. During this analysis, we spotted a critical vulnerability that enables attackers to manipulate their insurance scores and potentially reduce premiums by up to 30%. Our model and real-world analysis provide a solid foundation for reducing the risk of such manipulation of insurance premiums