Adaptive State Time Lattices A Contribution To Mobile Robot Motion Planning In Unstructured Dynamic Environments

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Dynamic Switching State Systems for Visual Tracking

Author : Becker, Stefan
Publisher : KIT Scientific Publishing
Page : 228 pages
File Size : 52,5 Mb
Release : 2020-12-02
Category : Computers
ISBN : 9783731510383

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Dynamic Switching State Systems for Visual Tracking by Becker, Stefan Pdf

This work addresses the problem of how to capture the dynamics of maneuvering objects for visual tracking. Towards this end, the perspective of recursive Bayesian filters and the perspective of deep learning approaches for state estimation are considered and their functional viewpoints are brought together.

Image-Based 3D Reconstruction of Dynamic Objects Using Instance-Aware Multibody Structure from Motion

Author : Bullinger, Sebastian
Publisher : KIT Scientific Publishing
Page : 194 pages
File Size : 53,7 Mb
Release : 2020-08-26
Category : Computers
ISBN : 9783731510123

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Image-Based 3D Reconstruction of Dynamic Objects Using Instance-Aware Multibody Structure from Motion by Bullinger, Sebastian Pdf

"This work proposes a Multibody Structure from Motion (MSfM) algorithm for moving object reconstruction that incorporates instance-aware semantic segmentation and multiple view geometry methods. The MSfM pipeline tracks two-dimensional object shapes on pixel level to determine object specific feature correspondences, in order to reconstruct 3D object shapes as well as 3D object motion trajectories" -- Publicaciones de Arquitectura y Arte.

Distributed Planning for Self-Organizing Production Systems

Author : Pfrommer, Julius
Publisher : KIT Scientific Publishing
Page : 210 pages
File Size : 55,6 Mb
Release : 2024-06-04
Category : Electronic
ISBN : 9783731512530

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Distributed Planning for Self-Organizing Production Systems by Pfrommer, Julius Pdf

In dieser Arbeit wird ein Ansatz entwickelt, um eine automatische Anpassung des Verhaltens von Produktionsanlagen an wechselnde Aufträge und Rahmenbedingungen zu erreichen. Dabei kommt das Prinzip der Selbstorganisation durch verteilte Planung zum Einsatz. - Most production processes are rigid not only by way of the physical layout of machines and their integration, but also by the custom programming of the control logic for the integration of components to a production systems. Changes are time- and resource-expensive. This makes the production of small lot sizes of customized products economically challenging. This work develops solutions for the automated adaptation of production systems based on self-organisation and distributed planning.

Proceedings of the 2022 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory

Author : Beyerer, Jürgen,Zander, Tim
Publisher : KIT Scientific Publishing
Page : 140 pages
File Size : 54,8 Mb
Release : 2023-07-05
Category : Electronic
ISBN : 9783731513049

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Proceedings of the 2022 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory by Beyerer, Jürgen,Zander, Tim Pdf

In August 2022, Fraunhofer IOSB and IES of KIT held a joint workshop in a Schwarzwaldhaus near Triberg. Doctoral students presented research reports and discussed various topics like computer vision, optical metrology, network security, usage control, and machine learning. This book compiles the workshop's results and ideas, offering a comprehensive overview of the research program of IES and Fraunhofer IOSB.

Probabilistic Parametric Curves for Sequence Modeling

Author : Hug, Ronny
Publisher : KIT Scientific Publishing
Page : 224 pages
File Size : 46,5 Mb
Release : 2022-07-12
Category : Mathematics
ISBN : 9783731511984

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Probabilistic Parametric Curves for Sequence Modeling by Hug, Ronny Pdf

This work proposes a probabilistic extension to Bézier curves as a basis for effectively modeling stochastic processes with a bounded index set. The proposed stochastic process model is based on Mixture Density Networks and Bézier curves with Gaussian random variables as control points. A key advantage of this model is given by the ability to generate multi-mode predictions in a single inference step, thus avoiding the need for Monte Carlo simulation.

Proceedings of the 2018 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory

Author : Beyerer, Jürgen,Taphanel, Miro
Publisher : KIT Scientific Publishing
Page : 136 pages
File Size : 42,7 Mb
Release : 2019-07-12
Category : Computers
ISBN : 9783731509363

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Proceedings of the 2018 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory by Beyerer, Jürgen,Taphanel, Miro Pdf

Proceedings of the 2019 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory

Author : Beyerer, Jürgen,Zander, Tim
Publisher : KIT Scientific Publishing
Page : 170 pages
File Size : 44,8 Mb
Release : 2020-10-23
Category : Computers
ISBN : 9783731510284

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Proceedings of the 2019 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory by Beyerer, Jürgen,Zander, Tim Pdf

In 2019 fand wieder der jährliche Workshop des Fraunhofer IOSB und des Lehrstuhls für Interaktive Echtzeitsysteme des Karlsruher Insitut für Technologie statt. Die Doktoranden beider Institutionen präsentierten den Fortschritt ihrer Forschung in den Themen Maschinelles Lernen, Machine Vision, Messtechnik, Netzwerksicherheit und Usage Control. Die Ideen dieses Workshops sind in diesem Buch gesammelt in der Form technischer Berichte. - In 2019 again, the annual joint workshop of the Fraunhofer IOSB and the Vision and Fusion Laboratory of the Karlsruhe Institute of Technology took place. The doctoral students of both institutions presented extensive reports on the status of their research and discussed topics ranging from computer vision and optical metrology to network security, usage control and machine learning. The results and ideas presented at the workshop are collected in this book in the form of technical reports.

Video-to-Video Face Recognition for Low-Quality Surveillance Data

Author : Herrmann, Christian
Publisher : KIT Scientific Publishing
Page : 180 pages
File Size : 50,8 Mb
Release : 2018-08-03
Category : Electronic computers. Computer science
ISBN : 9783731507994

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Video-to-Video Face Recognition for Low-Quality Surveillance Data by Herrmann, Christian Pdf

The availability of video data is an opportunity and a challenge for law enforcement agencies. Face recognition methods can play a key role in the automated search for persons in the data. This work targets efficient representations of low-quality face sequences to enable fast and accurate face search. Novel concepts for multi-scale analysis, dataset augmentation, CNN loss function, and sequence description lead to improvements over state-of-the-art methods on surveillance video footage.

Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos

Author : Janya-anurak, Chettapong
Publisher : KIT Scientific Publishing
Page : 248 pages
File Size : 54,8 Mb
Release : 2017-04-04
Category : Electronic
ISBN : 9783731506423

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Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos by Janya-anurak, Chettapong Pdf

Deep Learning based Vehicle Detection in Aerial Imagery

Author : Sommer, Lars Wilko
Publisher : KIT Scientific Publishing
Page : 276 pages
File Size : 51,6 Mb
Release : 2022-02-09
Category : Computers
ISBN : 9783731511137

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Deep Learning based Vehicle Detection in Aerial Imagery by Sommer, Lars Wilko Pdf

This book proposes a novel deep learning based detection method, focusing on vehicle detection in aerial imagery recorded in top view. The base detection framework is extended by two novel components to improve the detection accuracy by enhancing the contextual and semantical content of the employed feature representation. To reduce the inference time, a lightweight CNN architecture is proposed as base architecture and a novel module that restricts the search area is introduced.

Multimodal Panoptic Segmentation of 3D Point Clouds

Author : Dürr, Fabian
Publisher : KIT Scientific Publishing
Page : 248 pages
File Size : 48,6 Mb
Release : 2023-10-09
Category : Electronic
ISBN : 9783731513148

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Multimodal Panoptic Segmentation of 3D Point Clouds by Dürr, Fabian Pdf

The understanding and interpretation of complex 3D environments is a key challenge of autonomous driving. Lidar sensors and their recorded point clouds are particularly interesting for this challenge since they provide accurate 3D information about the environment. This work presents a multimodal approach based on deep learning for panoptic segmentation of 3D point clouds. It builds upon and combines the three key aspects multi view architecture, temporal feature fusion, and deep sensor fusion.