检索结果-内蒙古大学图书馆

arXiv 2022年

作者： Hagmanns, Raphael Emter, Thomas Besselmann, Marvin Grosse Beyerer, Jürgen Fraunhofer Institute of Optronics System Technologies and Image Exploitation Karlsruhe Germany Fraunhofer Institute of Optronics System Technologies and Image Exploitation Karlsruhe Germany FZI Forschungszentrum Informatik Karlsruhe Germany

In this work we present a fast occupancy map building approach based on the VDB datastructure. Existing log-odds based occupancy mapping systems are often not able to keep up with the high point densities and framerates of modern sensors. Therefore, we suggest a highly optimized approach based on a modern datastructure coming from a computer graphic background. A multithreaded insertion scheme allows occupancy map building at unprecedented speed. Multiple optimizations allow for a customizable tradeoff between runtime and map quality. We first demonstrate the effectiveness of the approach quantitatively on a set of ablation studies and typical benchmark sets, before we practically demonstrate the system using a legged robot and a UAV. © 2022, CC BY.

关键词： Mapping

来源：评论

学校读者我要写书评

暂无评论

LiDAR-based localization and automatic control of UAVs for mobile remote reconnaissance 18

LiDAR-based localization and automatic control of UAVs for m...

引用

Electro-Optical and Infrared systems: Technology and Applications XVIII and Electro-Optical Remote Sensing XV 2021

作者： Hammer, Marcus Borgmann, Björn Hebel, Marcus Arens, Michael Fraunhofer IOSB Ettlingen Fraunhofer Institute of Optronics System Technologies and Image Exploitation Gutleuthausstr. 1 Ettlingen76275 Germany

ISBN: (数字)9781510645776

ISBN: (纸本)9781510645769

Sensor-based monitoring of the surroundings of civilian vehicles is primarily relevant for driver assistance in road traffic, whereas in military vehicles, far-reaching reconnaissance of the environment is crucial for accomplishing the respective mission. Modern military vehicles are typically equipped with electro-optical sensor systems for such observation or surveillance purposes. However, especially when the line-of-sight to the onward route is obscured or visibility conditions are generally limited, more enhanced methods for reconnaissance are needed. The obvious benefit of micro-drones (UAVs) for remote reconnaissance is well known. The spatial mobility of UAVs can provide additional information that cannot be obtained on the vehicle itself. For example, the UAV could keep a fixed position in front and above the vehicle to gather information about the area ahead, or it could fly above or around obstacles to clear hidden areas. In a military context, this is usually referred to as manned-unmanned teaming (MUM-T). In this paper, we propose the use of vehicle-based electro-optical sensors as an alternative way for automatic control of (cooperative) UAVs in the vehicle's vicinity. In its most automated form, the external control of the UAV only requires a 3D nominal position relative to the vehicle or in absolute geocoordinates. The flight path there and the maintaining of this position including obstacle avoidance are automatically calculated on-board the vehicle and permanently communicated to the UAV as control commands. We show first results of an implementation of this approach using 360° scanning LiDAR sensors mounted on a mobile sensor unit. The control loop of detection, tracking and guidance of a cooperative UAV in the local environment is demonstrated by two experiments. We show the automatic LiDAR-controlled navigation of a UAV from a starting point A to a destination point B. with and without an obstacle between A and B. The obstacle in the direct path

关键词： Unmanned aerial vehicles (UAV)

来源：评论

学校读者我要写书评

暂无评论

Human-Machine Interactions for on the Fly Free Text Input Processing 3rd

Human-Machine Interactions for on the Fly Free Text Input Pr...

引用

3rd International Conference on Human systems Engineering and Design: Future Trends and Applications, IHSED 2020

作者： Dyck, Sergius Hoffmann, Almuth Fraunhofer Institute of Optronics System Technologies Image Exploitation IOSB Fraunhoferstr. 1 Karlsruhe76131 Germany

ISBN: (纸本)9783030582814

Information in machine-readable form has to be entered by users of information systems in various situations. In the input process, forms with a number of individual fields are commonly used. For the creator, this input can be cumbersome and potentially counterintuitive. For this reason, free text components are becoming increasingly important. Information in the form of free text is not machine-readable as such, and extracting information is complex. The accuracy of existing approaches used to extract information from free text components depends directly on the quality of the used internal model. These models have to be created by experts or trained in advance using the appropriate machine learning methods. The main objective presented in this paper is extracting information as well as enhancing the underlying model on the fly. This implies that the information extraction algorithms apply directly to the user’s input and that the user is enabled to correct possible deficiencies in the model as they arise. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Text processing

来源：评论

学校读者我要写书评

暂无评论

Towards a One-Stop-Shop Solution for the Application of Data-Driven Value-Adding Services in Production 29

Towards a One-Stop-Shop Solution for the Application of Data...

引用

29th IEEE International Conference on Emerging technologies and Factory Automation, ETFA 2024

作者： Redeker, Magnus Quirin, Dennis Schroeder, Rafael Klausmann, Tobias Löwen, Alexander Wollbrink, Alexander Stichweh, Heiko Althoff, Simon Bender, Amelie Sextro, Walter Hesse, Marc Fraunhofer Iosb IOSB-INA Lemgo Fraunhofer Institute of Optronics System Technologies and Image Exploitation Germany Bielefeld University Cognitronics & Sensor Systems Germany Friedrich Remmert GmbH Germany R & D Systems Engineering Lenze Se Germany Paderborn University Faculty of Mechanical Engineering Dynamics and Mechatronics Paderborn33098 Germany Weidmüller Group Germany

ISBN: (纸本)9798350361230

The holistic application of data-driven value-adding services (DDSs) to shop-floor assets (SFAs;e.g. equipment, machines, components) is a major obstacle, particularly for small and medium-sized enterprises (SMEs): Due to the high complexity and required expertise in various disciplines. It is necessary to i) select suitable DDSs for a relevant component in production, ii) provide data for their training, iii) deploy the DDSs in the given IT/OT infrastructure, and iv) setup data-streams between SFAs, DDSs, and dashboards. Currently, many companies are implementing flagship projects that go through the necessary steps for individual components, but these isolated solutions are not scalable due to the need for manual intervention. This paper describes how to completely automatize the four steps and their consolidation in a scalable Industry 4.0 one-stop-shop solution. To achieve this goal, each asset is equipped with an Asset Administration Shell (AAS) that specifies, in particular, the represented asset's capabilities, the data required to apply such a capability and the data generated by a capability. Based on the AASs of SFAs, DDSs, and computing resources (CRs), a matching service suggests automatically which DDSs would add value to which SFAs and, for each SFA-DDS match, in which CR to deploy the DDS. A trade fair demonstration provides strong support for the statements made: The one-stop-shop solution including the automatic matching greatly simplifies the application of data-driven services and, in some cases, even makes it possible at all. © 2024 IEEE.

关键词： AAS-based one-stop-shop Industry 4.0-solution Data-driven value-adding services Shop-floor optimization

来源：评论

学校读者我要写书评

暂无评论

Multi-Target Regression and Cross-Validation for Non-isothermal Glass Molding Experiments with Small Sample Sizes

Multi-Target Regression and Cross-Validation for Non-isother...

引用

Optifab 2023

作者： Mende, Hendrik Kiroriwal, Saksham Pfrommer, Julius Schmitt, Robert H. Beyerer, Jürgen Fraunhofer Institute for Production Technology IPT Steinbachstr. 17 Aachen52074 Germany Fraunhofer Institute of Optronics System Technologies and Image Exploitation IOSB Fraunhoferstr. 1 Karlsruhe76131 Germany Laboratory for Machine Tools and Production Engineering WZL of RWTH Aachen University Campus-Boulevard 30 Aachen52074 Germany

ISBN: (纸本)9781510668058

Machine learning has become a core part of smart factories and Industry 4.0. In our work, we extend the use of machine learning for quality prediction of a thin glass product formed using a Non-isothermal Glass Moulding (NGM) process. As the form shape of a glass lens requires multiple variables to describe, Multi-Target Regression (MTR) is suitable for the same. Many MTR models are able to provide intuitive insights into the prediction target(s). We present a data pipeline that employs bootstrapping-inspired sampling for robust feature selection, modelling and validation for small dataset. The results demonstrate how MTR models can be used for prediction with dataset with high dimensional time series input and multiple targets. © 2023 SPIE.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Evaluation of an Automated Mapping from ICD-10 to SNOMED CT

Evaluation of an Automated Mapping from ICD-10 to SNOMED CT

引用

2022 International Conference on Computational Science and Computational Intelligence, CSCI 2022

作者： Philipp, Patrick Veloso, Julia Appenzeller, Arno Hartz, Tobias Beyerer, Juergen Fraunhofer Institute of Optronics System Technologies and Image Exploitation Iosb Fraunhofer Center for Machine Learning Karlsruhe Germany Klinisches Krebsregister Niedersachen Hannover Germany Karlsruhe Institute of Technology Kit Vision and Fusion Laboratory Ies Karlsruhe Germany

ISBN: (纸本)9798350320282

The amount of data in the medical field is constantly increasing. But it is not only the sheer amount of information that is important, but also its quality and type of representation. While nomenclatures such as SNOMED CT (systematized Nomenclature of Medicine and Clinical Term) are suited for finegrained documentation and modern analysis, much information is also bound in classifications. This fact is often historical, as billing systems are typically based on classifications such as ICD-10 and then also had been used for documentation. Leveraging this information automatically is subject of this paper - i.e. enabling an automatic mapping from ICD-10 to SNOMED CT. Because this mapping provides a large set of SNOMED codes for each ICD-10 concept, the approach is non-trivial. In order to pick the best possible code, we propose to take advantage of the hierarchical structure of the SNOMED system to find the concept which lies closer to all candidates in the target system. In other words, our algorithm searches the lowest common ancestor (LCA) of all candidates. For evaluation, we studied 1692 codes from a real-world dataset. The results are promising and show that the proposed approach achieves good results in the majority of cases. © 2022 IEEE.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Fundamental Limitation Caused by Optical Propagation: Issues Relevant to Implement “All-Optical” technologies for Global Connectivity Using Space, Terrestrial and Underwater Communications

Fundamental Limitation Caused by Optical Propagation: Issues...

引用

International Symposium on Communication systems, Networks and Digital Signal Processing, CNSDSP

作者： Arun K. Majumdar Italo Toseli Consulting Research Scientist “Former” Adjunct Professor CSU_Pueblo San diego USA System Technologies and Image Exploitation Fraunhofer Institute of Optronics Fraunhofer IOSB Ettlingen Germany

ISBN: (数字)9798350348743

ISBN: (纸本)9798350348750

This paper presents a new architecture and novel technology for 3D optical networks in order to establish global communications and connectivity incorporating both entirely atmosphere and underwater terminals. The method is based on using adaptive optics (AO)-based transceivers for mitigating turbulence, and serial relay communications between small satellites, cluster of HAPs space terminals, and the ground (as well as underwater) terminal. Fundamental limitations caused by optical propagation through long slant paths associated with anisotropic and non-Kolmogorov turbulence, and their effects on optical communication design and performance are also addressed.

关键词： Underwater communication Three-dimensional displays Optical propagation Terrestrial atmosphere Small satellites Optical fiber networks Transceivers

来源：评论

学校读者我要写书评

暂无评论

The GOOSE Dataset for Perception in Unstructured Environments

The GOOSE Dataset for Perception in Unstructured Environment...

引用

IEEE International Conference on Robotics and Automation (ICRA)

作者： Peter Mortimer Raphael Hagmanns Miguel Granero Thorsten Luettel Janko Petereit Hans-Joachim Wuensche Institute for Autonomous Systems Technology University of the Bundeswehr Munich Germany Fraunhofer Institute of Optronics System Technologies and Image Exploitation Karlsruhe Germany Karlsruhe Institute of Technology (KIT) Germany

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

The potential for deploying autonomous systems can be significantly increased by improving the perception and interpretation of the environment. However, the development of deep learning-based techniques for autonomous systems in unstructured outdoor environments poses challenges due to limited data availability for training and testing. To address this gap, we present the German Outdoor and Offroad Dataset (GOOSE), a comprehensive dataset specifically designed for unstructured outdoor environments. The GOOSE dataset incorporates 10000 labeled pairs of images and point clouds, which are utilized to train a range of state-of-the-art segmentation models on both image and point cloud data. We open source the dataset, along with an ontology for unstructured terrain, as well as dataset standards and guidelines. This initiative aims to establish a common framework, enabling the seamless inclusion of existing datasets and a fast way to enhance the perception capabilities of various robots operating in unstructured environments. This framework also makes it possible to query data for specific weather conditions or sensor setups from a database in future. The dataset, pre-trained models for offroad perception, and additional documentation can be found at https://***/.

关键词： Point cloud compression Training Autonomous systems Navigation Semantic segmentation Ontologies Robot sensing systems

来源：评论

学校读者我要写书评

暂无评论

Concept and Design of a Prototype Autonomous, Modular Subsea Bottom Station

Concept and Design of a Prototype Autonomous, Modular Subsea...

引用

OCEANS

作者： Louis Leon Rautmann Jan Witte Thomas Emter Minhaz Ahmed Burkhard Rieck Helge Renkewitz Sascha Kosleck Dept. of Ocean Engineering University of Rostock Rostock Germany Fraunhofer Institute of Optronics System Technologies and Image Exploitation IOSB Karlsruhe Germany Fraunhofer Institute for Silicon Technology ISIT Itzehoe Germany Evologics GmbH Berlin Germany Fraunhofer Institute of Optronics System Technologies and Image Exploitation IOSB-AST Ilmenau Germany

This paper deals with the introduction of a novel concept of a customisable, modular and autonomous subsea bottom station (BASE). The subsea station will be supported by a floating surface unit ensuring cloud data connection as well as including MEMS-based energy harvesting and spaces for additional sensors. The concept not only serves as a long-term survey station or lander in the classical sense. It shall also operate as the main hub for a future underwater communications network and as a service station for underwater vehicles, such as AUVs, operating in the area. This paper aims to introduce the overall system and to showcase concepts of selected subsystems.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Deep learning based person search in aerial imagery 31

Deep learning based person search in aerial imagery

引用

Automatic Target Recognition XXXI 2021

作者： Sommer, Lars Specker, Andreas Schumann, Arne Fraunhofer Iosb Institute of Optronics System Technologies and Image Exploitation Fraunhoferstrasse 1 Karlsruhe76131 Germany Fraunhofer Center for Machine Learning

ISBN: (数字)9781510642966

ISBN: (纸本)9781510642959

The increasing availability of drones and their flexible employment for surveillance tasks will lead to large amounts of aerial video data in the near future. Similar to camera network data, such large data volumes will pose a challenge when fast analysis of the data is required, for example after a security incident. Key automated tasks that can help make the data more easily navigable are detection and re-identification of persons. While both tasks pose a challenge in themselves, the combination of both, often called person search, can often be of greatest benefit to analysts. In this work we address the task of person search in aerial images on the newly available P-DESTRE dataset. In particular our work aims at investigating the suitability of existing methods for person detection and re-identification in the aerial domain and taking a look at how top performing methods can be combined to realize an aerial person search system. Besides evaluation of the individual components we focus on analyzing the interplay between the detection and re-identification methods. In particular, we look at wether errors from the detection stage, such as misaligned detections or false positive detection, strongly affect the re-identification accuracies. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Antennas

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：