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Performance and Implementation Aspects of Nonlinear Filtering
Nonlinear filtering is an important standard tool for information and sensor fusion applications, e.g., localization, navigation, and tracking. It is an essential component in surveillance systems and of increasing importance for standard consumer products, such as cellular phones with localization, car navigation systems, and augmented reality. This thesis addresses several issues related to nonlinear filtering, including performance analysis of filtering and detection, algorithm analysis, and various implementation details. The most commonly used measure of filtering performance is the root mean square error (RMSE), which is bounded from below by the Cramér-Rao lower bound (CRLB). This th...
Adaptive Filtering and Change Detection
Adaptive filtering is a branch of digital signal processing which enables the selective enhancement of desired elements of a signal and the reduction of undesired elements. Change detection is another kind of adaptive filtering for non-stationary signals, and is the basic tool in fault detection and diagnosis. This text takes the unique approach that change detection is a natural extension of adaptive filtering, and the broad coverage encompasses both the mathematical tools needed for adaptive filtering and change detection and the applications of the technology. Real engineering applications covered include aircraft, automotive, communication systems, signal processing and automatic control...
The Man from the Third Row
Until his early retirement at age 50, Hasse Ekman was one of the leading lights of Swedish cinema, an actor, writer, and director of prodigious talents. Yet today his work is virtually unknown outside of Sweden, eclipsed by the filmography of his occasional collaborator (and frequent rival) Ingmar Bergman. This comprehensive introduction—the first ever in English—follows Ekman’s career from his early days as a film journalist, through landmark films such as Girl with Hyacinths (1950), to his retirement amid exhaustion and disillusionment. Combining historical context with insightful analyses of Ekman’s styles and themes, this long overdue study considerably enriches our understanding of Swedish film history.
Probabilistic modeling for sensor fusion with inertial measurements
In recent years, inertial sensors have undergone major developments. The quality of their measurements has improved while their cost has decreased, leading to an increase in availability. They can be found in stand-alone sensor units, so-called inertial measurement units, but are nowadays also present in for instance any modern smartphone, in Wii controllers and in virtual reality headsets. The term inertial sensor refers to the combination of accelerometers and gyroscopes. These measure the external specific force and the angular velocity, respectively. Integration of their measurements provides information about the sensor's position and orientation. However, the position and orientation e...
Responsible Procurement
This open access book emphasizes that procuring goods at the expense of the environment and those who live there is no longer acceptable. Fortunately, there is now an unstoppable force, created by a collective of diverse stakeholders, driving the sustainability agenda. A company's sustainability standards can only truly be as good as those along its entire supply chain. The purpose of this book is to encourage and inspire companies on their journey to transform into responsible and sustainable businesses by addressing the supply chain, which reflects a significant part of a company's expenses and thus.
Fault Detection, Supervision and Safety of Technical Processes 2006
The safe and reliable operation of technical systems is of great significance for the protection of human life and health, the environment, and of the vested economic value. The correct functioning of those systems has a profound impact also on production cost and product quality. The early detection of faults is critical in avoiding performance degradation and damage to the machinery or human life. Accurate diagnosis then helps to make the right decisions on emergency actions and repairs. Fault detection and diagnosis (FDD) has developed into a major area of research, at the intersection of systems and control engineering, artificial intelligence, applied mathematics and statistics, and suc...
Uncertainties in Neural Networks
In science, technology, and engineering, creating models of the environment to predict future events has always been a key component. The models could be everything from how the friction of a tire depends on the wheels slip to how a pathogen is spread throughout society. As more data becomes available, the use of data-driven black-box models becomes more attractive. In many areas they have shown promising results, but for them to be used widespread in safety-critical applications such as autonomous driving some notion of uncertainty in the prediction is required. An example of such a black-box model is neural networks (NNs). This thesis aims to increase the usefulness of NNs by presenting an...
The Films of Delmer Daves
Delmer Daves (1904–1977) was an American screenwriter, director, and producer known for his dramas and Western adventures, most notably Broken Arrow and 3:10 to Yuma. Despite the popularity of his films, there has been little serious examination of Daves’s work. Filmmaker Bertrand Tavernier has called Daves the most forgotten of American directors, and to date no scholarly monograph has focused on his work. In The Films of Delmer Daves: Visions of Progress in Mid-Twentieth-Century America, author Douglas Horlock contends that the director’s work warrants sustained scholarly attention. Examining all of Daves’s films, as well as his screenplays, scripts that were not filmed, and person...
Computer Vision – ECCV 2020
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
