TY - CHAP A1 - Brunner, Pascal A1 - Denk, Florian A1 - Huber, Werner A1 - Kates, Ronald T1 - Virtual safety performance assessment for automated driving in complex urban traffic scenarios T2 - 2019 IEEE Intelligent Transportation Systems Conference (ITSC) UR - https://doi.org/10.1109/ITSC.2019.8917517 Y1 - 2019 UR - https://doi.org/10.1109/ITSC.2019.8917517 SN - 978-1-5386-7024-8 SP - 679 EP - 685 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Denk, Florian A1 - Huber, Werner A1 - Brunner, Pascal A1 - Kates, Ronald T1 - The role of perceptual failure and degrading processes in urban traffic accidents: a stochastic computational model for virtual experiments T2 - 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) UR - https://doi.org/10.1109/ITSC45102.2020.9294498 KW - accidents KW - vehicles KW - safety KW - roads KW - computational modeling KW - stochastic processes KW - information processing Y1 - 2020 UR - https://doi.org/10.1109/ITSC45102.2020.9294498 SN - 978-1-7281-4149-7 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Brunner, Pascal A1 - Löcken, Andreas A1 - Denk, Florian A1 - Kates, Ronald A1 - Huber, Werner T1 - Analysis of experimental data on dynamics and behavior of e-scooter riders and applications to the impact of automated driving functions on urban road safety T2 - 2020 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV47402.2020.9304835 KW - Safety KW - Accidents KW - Vehicle dynamics KW - Testing KW - Stability analysis KW - Motorcycles KW - Biological system modeling Y1 - 2021 UR - https://doi.org/10.1109/IV47402.2020.9304835 SN - 978-1-7281-6673-5 SP - 219 EP - 225 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Wurst, Jonas A1 - Balasubramanian, Lakshman A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder T2 - 2021 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV48863.2021.9575730 Y1 - 2021 UR - https://doi.org/10.1109/IV48863.2021.9575730 SN - 978-1-7281-5394-0 SP - 1304 EP - 1311 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Schmid, Maximilian A1 - Bhogaraju, Sri Krishna A1 - Liu, E A1 - Elger, Gordon T1 - Comparison of Nondestructive Testing Methods for Solder, Sinter, and Adhesive Interconnects in Power and Opto-Electronics JF - Applied Sciences N2 - Reliability is one of the major requirements for power and opto-electronic devices across all segments. High operation temperature and/or high thermomechanical stress cause defects and degradation of materials and interconnects, which may lead to malfunctions with costly or even life-threatening consequences. To avoid or at least reduce failures, nondestructive testing (NDT) methods are common within development and production of power and opto-electronics. Currently, the dominating NDT methods are X-ray, scanning acoustic microscopy (SAM), and transient thermal analysis (TTA). However, they have different strengths and weaknesses with respect to materials and mechanical designs. This paper compares these NDT methods for different interconnect technologies, i.e., reflow soldering, adhesive, and sintered interconnection. While X-ray provided adequate results for soldered interfaces, inspection of adhesives and sintered interconnects was not possible. With SAM, evaluation of adhesives and sintered interconnects was also feasible, but quality depended strongly on the sample under test. TTA enabled sufficiently detailed results for all the interconnect applications. Automated TTA equipment, as the in-house developed tester used within this investigation, enabled measurement times compatible with SAM and X-ray. In the investigations, all methods revealed their pros and cons, and their selection has to depend on the sample under tests and the required analysis depth and data details. In the paper, guidelines are formulated for an appropriate decision on the NDT method depending on sample and requirements. UR - https://doi.org/10.3390/app10238516 KW - reliability KW - nondestructive testing KW - power electronics KW - X-ray KW - scanning acoustic microscopy KW - transient thermal analysis KW - TTA KW - sintering KW - LED KW - MOSFET Y1 - 2020 UR - https://doi.org/10.3390/app10238516 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-12518 SN - 2076-3417 VL - 10 IS - 23 PB - MDPI CY - Basel ER - TY - JOUR A1 - Schmid, Maximilian A1 - Bhogaraju, Sri Krishna A1 - Hanss, Alexander A1 - Elger, Gordon T1 - A new noise-suppression algorithm for transient thermal analysis in semiconductors over pulse superposition JF - IEEE Transactions on Instrumentation and Measurement UR - https://doi.org/10.1109/TIM.2020.3011818 KW - LED KW - linear time-invariant (LTI) system KW - MOSFET KW - noise suppression KW - reliability KW - semiconductor KW - signal processing KW - thermal impedance (Zth) KW - transient thermal analysis (TTA) Y1 - 2021 UR - https://doi.org/10.1109/TIM.2020.3011818 SN - 0018-9456 VL - 70 PB - IEEE CY - New York ER - TY - THES A1 - Hasnain, Syed Gazanfar T1 - Design and construction of a dynamically scaled vehicle for emergency scenario algorithm development N2 - Through the application of the Buckingham Pi theorem, a full-sized vehicle is scaled to create a model vehicle that is both geometrically and dynamically similar. The full-sized vehicle is systematically divided into three distinct sections, which are scaled independently. Each section is first described by an equivalent model to which the Buckingham Pi theorem is applied. The results of the scaling process define the design constraints that must be adhered to during the development of the equivalent scale model. Additional design constraints are added to the scaled vehicle to allow the final design to be flexible in its application and allow for a variety of experiments in subsequent research projects. The design constraints drive the selection of various components affecting the overall system layout. The final design is compared to the perfectly scaled model to determine their degree of similarity. Modifications are required on the final design to match the corresponding Pi groups of the perfectly scaled model. The modifications consist of redistributing the mass of the vehicle to minimize the deviations. Following the changes to the design, a physical model is constructed. The physical model consists of all the selected components and is built to develop and test vehicle control algorithms. The physical model is preliminarily validated against simulations to ensure that the longitudinal and lateral dynamics of the vehicle match those of the fully scaled vehicle. The ultimate goal of the scaled vehicle is to test emergency collision avoidance algorithms in a controlled environment and apply the findings to develop full-scale vehicle controllers in CARISSMA related projects. Y1 - 2021 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-11707 CY - Ingolstadt ER - TY - THES A1 - Hartinger, Florian Xaver T1 - Machbarkeitsanalyse zur Auswertung von Iridium Bursts zur Stützung von Navigationssystemen N2 - Diese Machbarkeitsanalyse beschäftigt sich damit wie mithilfe gängiger Peilverfahren, aus den Signalen von Satelliten der Iridium Next Konstellation, Navigationsdaten zur Stützung von Navigationssystemen gewonnen werden können. Y1 - 2021 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-11696 CY - Ingolstadt ER - TY - THES A1 - Fröhling, Felix Korbinian T1 - Evaluation of CNN-based object detection algorithms of thermal and color image sensors under adverse environment conditions N2 - Functional safety is becoming increasingly important in current ADAS systems, especially with technology facing an evolution as responsibility is gradually transferred from the driver to the car. The systems must perceive their environment correctly in any situation but sensors have their limitations. Thus, different sensor types must be combined to compensate the weakness of each sensor. The aim of this work is to find out whether thermal cameras have an added value for object detection in adverse environmental conditions such as rain, fog and different light conditions compared to conventional color cameras. To answer this question, three state-of-the-art algorithms for object detection on images based on neural networks are analyzed and compared. Current state-of-the-art algorithms are based on neural networks and need a large amount of labeled data. This data is generated using IPG CarMaker, a simulation tool, to simulate labeled color and thermal images. Besides synthetic data, also real sensor data is recorded in the CARISSMA test facility, where real adverse environmental conditions can be reproduced. This dataset is used for evaluation, i.e. by comparing the ground-truth data with the neural network predictions from the color and thermal images. With the evaluationdata statements can be done in which situations the algorithm is able to detect the object based on the color and thermal images and thereby what performance the algorithm achieves. Y1 - 2021 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-11609 CY - Ingolstadt ER - TY - THES A1 - Finkler, Tim Christian T1 - Entwicklung und Umsetzung einer lernenden, kamerabasierten Roboteranlage zur Sortierung von Paletten N2 - Das Ziel der vorliegenden Arbeit ist es eine Roboteranlage zu entwickeln, die die Aufgabe der Sortierung und Stapelung von Europaletten übernehmen soll. Dazu wird eine ausführliche Recherche des bisherigen Prozesses und die Anforderungen des Unternehmens genau untersucht. Sobald die Ist-Situation genau definiert ist werden verschiedene Lösungsvarianten erarbeitet. Die Auswahl der Komponenten, wie z.B. der Roboter, der Effektor und das Kamerasystem werden genau evaluiert. Dies führt anschließend zu einem umfassenden Gesamtkonzept. In Form eines Prototyps wird ein Großteil des Gesamtkonzepts umgesetzt. Um die Roboteranlage im Anschluss fertigzustellen, werden die einzelnen Schritte dokumentiert. Y1 - 2021 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-11574 CY - Ingolstadt ER -