52 Result(s)
within
Dietrich Paulus
Computer Science
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Chapter and Conference Paper
Abstract: Determination of Unknown Biomechanical Parameters of a Screw-vertebra MBS Model
In this study, we show that parameters for which values are not known a priori can be determined with sufficient accuracy using a multibody simulation (MBS) model. We propose a sensitivity analysis method that...
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Chapter and Conference Paper
homer@UniKoblenz: Winning Team of the RoboCup Virtual @Home Open Platform League 2021
In this paper we present our approaches for solving this year’s virtual RoboCup @Home tasks with special focus on object detection and manipulation in the simulation environment Gazebo, which lead to our succe...
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Chapter and Conference Paper
Reconstruction of 1D Images with a Neural Network for Magnetic Particle Imaging
Image reconstruction in Magnetic Particle Imaging is mainly performed by using a system matrix or by map** the time signal into spatial domain and deconvolving the tracer properties. In this work, a neural n...
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Chapter and Conference Paper
Fusion-GCN: Multimodal Action Recognition Using Graph Convolutional Networks
In this paper we present Fusion-GCN, an approach for multimodal action recognition using Graph Convolutional Network (GCNs). Action recognition methods based around Graph Convolutional Network (GCNs) recently ...
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Chapter and Conference Paper
Abstract: Automatic Detection of Cervical Spine Ligaments Origin and Insertion Points
Creating patient-specific simulation models helps to make customised implant or treatment plans. To create such models, exact locations of the Origin and Insertion Points of the Ligaments (OIPL) are needed. Lo...
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Chapter and Conference Paper
homer@UniKoblenz: Winning Team of the RoboCup@Home Open Platform League 2018
We won this year’s RoboCup@Home track in the Open Platform League in Montreal (Canada). The approaches as used for the competition are briefly described in this paper
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Chapter and Conference Paper
Gesture Recognition in RGB Videos Using Human Body Keypoints and Dynamic Time War**
Gesture recognition opens up new ways for humans to intuitively interact with machines. Especially for service robots, gestures can be a valuable addition to the means of communication to, for example, draw t...
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Chapter and Conference Paper
Adaptive Learning Methods for Autonomous Mobile Manipulation in RoboCup@Home
Team homer@UniKoblenz has become an integral part of the RoboCup@Home community. As such we would like to share our experience gained during the competitions with new teams. In this paper we describe our appr...
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Chapter and Conference Paper
Abstract: Automatic Estimation of Cochlear Duct Length and Volume Size
The exact cochlear length and size are required is an important factor of selecting the suitable cochlear implant. We present a fast cochlear length and volume size estimation method from clinical multi-modal ...
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Chapter and Conference Paper
From Commands to Goal-Based Dialogs: A Roadmap to Achieve Natural Language Interaction in RoboCup@Home
On the one hand, speech is a key aspect to people’s communication. On the other, it is widely acknowledged that language proficiency is related to intelligence
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Chapter and Conference Paper
MC2SLAM: Real-Time Inertial Lidar Odometry Using Two-Scan Motion Compensation
We propose a real-time, low-drift laser odometry approach that tightly integrates sequentially measured 3D multi-beam LIDAR data with inertial measurements. The laser measurements are motion-compensated using ...
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Chapter and Conference Paper
Automatic Multi-modal Cervical Spine Image Atlas Segmentation
A personalized medicine has been advanced in different fields of medicine to combat, control and prevent a number of diseases. In personalized medicine, products are customized and only suitable for a specific...
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Chapter and Conference Paper
homer@UniKoblenz: Winning Team of the RoboCup@Home Open Platform League 2017
In this paper we present the approaches that we used for this year’s RoboCup@Home participation in the Open Platform League. A special focus was put on team collaboration by handing over objects between two ro...
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Chapter and Conference Paper
Automatic Cochlear Length and Volume Size Estimation
Surgical robotics tools using real-time computer vision algorithms can detect, extract and analyze specific organs during surgery. In order to achieve successful cochlear implant surgical operation using such ...
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Chapter and Conference Paper
Abstract: Automatic Image Registration for 3D Cochlea Medical Images
A Prior knowledge of the cochlea’s characteristics helps for selecting the suitable cohlear implants for different patients. Cochlea medical images provide such prior knowledge. Doctors use a manual procedure ...
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Chapter and Conference Paper
Robust Features for Snapshot Hyperspectral Terrain-Classification
Hyperspectral imaging increases the amount of information incorporated per pixel in comparison to normal RGB color cameras. Conventional spectral cameras as used in satellite imaging use spatial or spectral sc...
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Chapter and Conference Paper
Affordance Origami: Unfolding Agent Models for Hierarchical Affordance Prediction
Object affordances have moved into the focus of researchers in computer vision and have been shown to augment the performance of object recognition approaches. In this work we address the problem of visual aff...
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Chapter and Conference Paper
Camera-Agnostic Monocular SLAM and Semi-dense 3D Reconstruction
This paper discusses localisation and map** techniques based on a single camera. After introducing the given problem, which is known as monocular SLAM, a new camera agnostic monocular SLAM system (CAM-SLAM) is ...
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Chapter and Conference Paper
Optical Truck Tracking for Autonomous Platooning
Platooning applications require precise knowledge about position and orientation (pose) of the leading vehicle. We present an optical solution for a robust pose estimation using artificial markers and a camera...
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Chapter and Conference Paper
Detecting Fine-Grained Affordances with an Anthropomorphic Agent Model
In this paper we propose an approach to distinguish affordances on a fine-grained scale. We define an anthropomorphic agent model and parameterized affordance models. The agent model is transformed according t...
