Ergebnisse für: multi-sensor fusion
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Although sensor fusion is an essential prerequisite for autonomous driving, it entails a number of challenges and potential risks. For example, the commonly used deep fusion networks are lacking in interpretability and robustness. To address these fundamental issues, this book introduces the mechani...
Although sensor fusion is an essential prerequisite for autonomous driving, it entails a number of challenges and potential risks. For example, the commonly used deep fusion networks are lacking in interpretability and robustness. To address these fundamental issues, this book introduces the mechani...
Although sensor fusion is an essential prerequisite for autonomous driving, it entails a number of challenges and potential risks. For example, the commonly used deep fusion networks are lacking in interpretability and robustness. To address these fundamental issues, this book introduces the mechani...
This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science, as well as researchers and professional engineers. The book is intend...
This textbook provides a comprehensive introduction to the concepts and ideas of data fusion. It is an extensively revised third edition of the author's book which was originally published by Springer-Verlag in 2007 (first edition) and 2012 (second edition).
 The main changes in the new edition...
This book addresses a key technology for digital information processing: Kalman filtering, which is generally considered to be one of the greatest discoveries of the 20th century. It introduces readers to issues concerning various uncertainties in a single plant, and to corresponding solutions based...
This textbook provides a comprehensive introduction to the concepts and idea of multisensor data fusion. It is an extensively revised second edition of the author's successful book: "Multi-Sensor Data Fusion: An Introduction" which was originally published by Springer-Verlag in 2007. The main change...
This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, ...
The purpose of this book is to provide an introduction to the theories and techniques of multi-sensor data fusion. The book has been designed as a text for a one-semester graduate course in multi-sensor data fusion. It should also be useful to advanced undergraduates in electrical engineering or com...
This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science, as well as researchers and professional engineers. The book is intend...
In der vorliegenden Arbeit werden probabilistische Methoden für die Kombination mehrerer Sensoren mittels Multi-Sensor-Fusion für die robuste und präzise Lokalisierung und Kartenerstellung in heterogenen Außenumgebungen vorgestellt. Es werden sowohl Aspekte der robusteren Wiedererkennung von Lan...
In den letzten Jahren ist die Produktion von faserverstärkten Kunststoffen stetig gestiegen. Ein Teil entfällt auf das glasfaser-verstärkte Sheet Molding Compound (SMC), welches sich durch seine günstigen Herstellkosten und einfache Verarbeitbarkeit auszeichnet. Allerdings kann dieses Material, ...
Das Ganze ist bekanntermaßen mehr als die Summe seiner Teile. Diese Tatsache machen sich seit je her jede Art von Lebewesen zu Nutze, indem sie Informationen der einzelnen Sinnesorgane instinktiv miteinander verknüpfen. Erst diese „Fusion“ von Eindrücken ermöglicht eine Orientierung sowie La...
Abstract
Advanced sensing systems, sophisticated algorithms, and increasing computational
resources continuously enhance the advanced driver assistance systems (ADAS). To date,
despite that some vehicle based approaches to driver fatigue/drowsiness detection have been
realized and deployed, objectiv...
This textbook provides a comprehensive introduction to the concepts and ideas of data fusion. It is an extensively revised third edition of the author's book which was originally published by Springer-Verlag in 2007 (first edition) and 2012 (second edition).
 The main changes in the new edition...
Automated driving has great potential in solving the mobility needs of the future and reducing the amount of traffic accidents. Advances in the environment perception for automated driving are to a large extent driven by deep learning and huge amounts of sensor data. Multiple-sensors are used in aut...
This book addresses a key technology for digital information processing: Kalman filtering, which is generally considered to be one of the greatest discoveries of the 20th century. It introduces readers to issues concerning various uncertainties in a single plant, and to corresponding solutions based...
This book addresses a key technology for digital information processing: Kalman filtering, which is generally considered to be one of the greatest discoveries of the 20th century. It introduces readers to issues concerning various uncertainties in a single plant, and to corresponding solutions based...
The information fusion technique can integrate a large amount of data and knowledge representing the same real-world object and obtain a consistent, accurate and useful representation of that object. The data may be independent or redundant, and can be obtained by different sensors at the same time ...