检索结果-内蒙古大学图书馆

Asia and South Pacific Design Automation Conference

作者： Ravikumar v Chakaravarthy Hyun Kwon Hua Jiang Xilinx Inc. San Jose USA

ISBN: (数字)9781450379991

ISBN: (纸本)9781728180571

Fully self-driving (FSD) vehicles are becoming increasing popular over the last few years and companies are investing significantly into its research and development. In the recent years, FSD technology innovators like Tesla, Google etc. have been working on proprietary autonomous driving stacks and have been able to successfully bring the vehicle to the roads. On the other end, organizations like Autoware Foundation and Baidu are fueling the growth of self-driving mobility using open source stacks. These organizations firmly believe in enabling autonomous driving technology for everyone and support developing software stacks through the open source community that is SoC vendor agnostic. In this proposed solution we describe a vision control unit for a fully self-driving vehicle developed on Xilinx MPSoC platform using open source software *** vision control unit of an FSD vehicle is responsible for camera video capture, image processing and rendering, AI algorithm processing, data and meta-data transfer to next stage of the FSD pipeline. In this proposed solution we have used many open source stacks and frameworks for video and AI processing. The processing of the video pipeline and algorithms take full advantage of the pipelining and parallelism using all the heterogenous cores of the Xilinx MPSoC. In addition, we have developed an extensible, scalable, adaptable and configurable AI backend framework, XTA, for acceleration purposes that is derived from a popular, open source AI backend framework, TvM-vTA. XTA uses all the MPSoC cores for its computation in a parallel and pipelined fashion. XTA also adapts to the compute and memory parameters of the system and can scale to achieve optimal performance for any given AI problem. The FSD system design is based on a distributed system architecture and uses open source components like Autoware for autonomous driving algorithms, ROS and Distributed Data Services as a messaging middleware between the functional

关键词： Cameras Rendering (computer graphics) Real-time systems Sensors Artificial intelligence Autonomous vehicles Pipeline processing

来源：评论

学校读者我要写书评

暂无评论

Electrodynamics simulation of FMCW signal for the contact-less reinforced concrete testing

引用

AIP Conference Proceedings 2023年第1期2849卷

作者： Mikhail v. Ronkin Kirill M. Zeyde Alexey A. Kalmykov Yeltsin Ural Federal University Yekaterinburg Russian Federation

The paper is devoted to the problem of design a contact-less radar MIMO system for the non-destructive testing (NDT) of concrete and reinforced concrete objects using the linearly Frequency-Modulated Continuum Waves signals (FMCW). This paper is the first one in the investigation of the described problem. In the consideration, the greatest interest is in the evaluation of the reinforcement parameters (reinforcing bar diameters and depth of reinforcement frames), thickness estimation, and visualization of the controlled objects in the lack of two-way access (for instance, foundations, slabs, and e.t.c.). The contact-less measurements allow one to speed-up and simplify the testing routine. In the designed device the described features are attained through the using of uniform rectangular array (URA) multi-input-multi-output (MIMO) systems with the FMCW signals and algorithms of signal processing and deep-learning based image processing under investigation. By this we are expect to achieve a high energy of emitting (high signal-to-noise ratio i.e. high depth) and a high space resolution in three dimensions. This paper is devoted to the first stage of the research which is the electrodynamics simulation of the FMCW signals in the investigated system. The results then will be used to signal processing algorithms investigation and gathering the dataset for the deep-neural network training (the second-stage processing and high-resolution visualization and reinforcement parameters investigation).

关键词：

来源：评论

学校读者我要写书评

暂无评论

Quantifying Optically Derived Two-Dimensional Wave-Averaged Currents in the Surf Zone

引用

REMOTE SENSING 2021年第4期13卷 690-690页

作者： Anderson, Dylan Bak, A. Spicer Brodie, Katherine L. Cohn, Nicholas Holman, Rob A. Stanley, John US Army Engineer Res & Dev Ctr Coastal & Hydraul Lab Field Res Facil Duck NC 27949 USA Oak Ridge Inst Sci & Educ Oak Ridge TN 37830 USA Oregon State Univ Coll Earth Ocean & Atmospher Sci Corvallis OR 97331 USA North Carolina State Univ Dept Civil Construct & Environm Engn Raleigh NC 27607 USA

Complex two-dimensional nearshore current patterns are generated by feedbacks between sub-aqueous morphology and momentum imparted on the water column by breaking waves, winds, and tides. These non-stationary features, such as rip currents and circulation cells, respond to changing environmental conditions and underlying morphology. However, using fixed instruments to observe nearshore currents is limiting due to the high costs and logistics necessary to achieve adequate spatial sampling resolution. A new technique for processing surf-zone imagery, WAMFlow, quantifies fluid velocities to reveal complex, multi-scale (10 s-1000 s meters) nearshore surface circulation patterns. We apply the concept of a wave-averaged movie (WAM) to measure surf-zone circulation patterns on spatial scales of kilometers in the alongshore and 100 s of meters in the cross-shore. The approach uses a rolling average of 2 Hz optical imagery, removing the dominant optical clutter of incident waves, to leave the residual foam or water turbidity features carried by the flow. These residual features are tracked as quasi-passive tracers in space and time using optical flow, which solves for u and v as a function of image intensity gradients in x, y, and t. Surf zone drifters were deployed over multiple days with varying nearshore circulations to validate the optically derived flow patterns. Root mean square error are reduced to 0.1 m per second after filtering based on image attributes. The optically derived patterns captured longshore currents, rip currents, and gyres within the surf zone. Quantifying nearshore circulation patterns using low-cost image platforms and open-source computer vision algorithms presents the potential to further our understanding of fundamental surf zone dynamics.

关键词： nearshore currents hydrodynamics surf zone drifters optical flow Argus Coastal image Research Network

来源：评论

学校读者我要写书评

暂无评论

Algorithm For Stabilizing video images

Algorithm For Stabilizing Video Images

引用

Wave Electronics and its Application in Information and Telecommunication systems (WECONF)

作者： A. v. Sotnikov A. v. Shipatov Aung Kyaw Myo P. A. Fedorov A. R. Fedorov Institute of Systems and Software Engineering and Information Technology National Research University of Electronic Technology Moscow Russia

ISBN: (数字)9781728149448

ISBN: (纸本)9781728149455

The basic methods for stabilizing video images are considered. The requirements for the image stabilization algorithm in the video streaming processing system for unmanned aerial vehicles (UAvs) are formulated. An improved modification of the video stabilization algorithm is proposed based on a comparison of key image points. As a descriptor of the found local features, the modern high-performance FREAK method was applied, surpassing existing algorithms both in the speed of generation and comparison of feature vectors and in the accuracy of comparison and resistance to image transformations. This made it possible to significantly increase the performance of the stabilization algorithm and improve the quality of stabilized video images due to a more accurate calculation of the parameters of inter-frame transformations, which, in turn, depends on the accuracy of matching sets of singular points. The results of testing the proposed algorithm on real and synthesized video sequences are presented.

关键词： image stabilization video processing video streaming unmanned aerial vehicles descriptor Descriptors video streaming Unmanned Aerial vehicle algorithms drone honey bees images videotapes vehicle video sequences

来源：评论

学校读者我要写书评

暂无评论

An Investigation on the Effect of Color Model for Natural image processing

An Investigation on the Effect of Color Model for Natural Im...

引用

International Conference on Advanced Computing and Communication systems (ICACCS)

作者： P. Ganesan v.G. Sivakumar M. vadivel Thulasi Prasad S. Vidya Jyothi Institute of Technology Hyderabad Telangana India

ISBN: (数字)9781728151977

ISBN: (纸本)9781728151984

Color model is also referred to as a mathematical organization or arrangement of colors as numerical values as three or four color components or channels. Every color space has unique features and application oriented. The paper presented an extravagant investigation on color spaces for image processing applications. Fuzzy c-means clustering is one of the widely applied algorithms for image segmentation. This work too utilized FCM to test the influence of color space on image processing applications.

关键词： image color analysis Color Computational modeling image segmentation Mathematical model Communication systems Colored noise

来源：评论

学校读者我要写书评

暂无评论

On image processing System for Robot Control using DSK 6713 DSP Kit

On Image Processing System for Robot Control using DSK 6713 ...

引用

International Symposium for Design and Technology of Electronics Packages (SIITME)

作者： G. Petrea v. Nicolau M. Andrei “Dunărea de Jos” University of Galati Romania

ISBN: (数字)9781728175065

ISBN: (纸本)9781728175072

Real-time image processing techniques are used in many automation applications like in autonomous vehicle (Av) and robot control. In this paper, an image processing system for real-time video signal processing is studied, using DSK 6713 kit from Texas Instruments. The DSK kit is used to acquire frames from a camera module through HPI port and store them into external SDRAM memory. The DSP is used to extract the frames from memory through EMIF bus, and to run complex processing algorithms on 1D and 2D signals, like spectral analysis and artificial intelligence. Studying the system performances, three possible bottlenecks were identified and analyzed regarding image processing algorithms.

关键词： Cameras visualization image processing Feature extraction Robots Real-time systems Manipulators

来源：评论

学校读者我要写书评

暂无评论

Why is the Winner the Best?

Why is the Winner the Best?

引用

Conference on Computer vision and Pattern Recognition (CvPR)

作者： M. Eisenmann A. Reinke v. Weru M. D. Tizabi F. Isensee T. J. Adler S. Ali v. Andrearczyk M. Aubreville U. Baid S. Bakas N. Balu S. Bano J. Bernal S. Bodenstedt A. Casella v. Cheplygina M. Daum M. De Bruijne A. Depeursinge R. Dorent J. Egger D. G. Ellis S. Engelhardt M. Ganz N. Ghatwary G. Girard P. Godau A. Gupta L. Hansen K. Harada M. Heinrich N. Heller A. Hering A. Huaulmé P. Jannin A. E. Kavur O. Kodym M. Kozubek J. Li H. Li J. Ma C. Martín-Isla B. Menze A. Noble v. Oreiller N. Padoy S. Pati K. Payette T. Rädsch J. Rafael-Patiño v. Singh Bawa S. Speidel C. H. Sudre K. van Wijnen M. Wagner D. Wei A. Yamlahi M. H. Yap C. Yuan M. Zenk A. Zia D. Zimmerer D. Aydogan B. Bhattarai L. Bloch R. Brüngel J. Cho C. Choi Q. Dou I. Ezhov C. M. Friedrich C. Fuller R. R. Gaire A. Galdran Á. García Faura M. Grammatikopoulou S. Hong M. Jahanifar I. Jang A. Kadkhodamohammadi I. Kang F. Kofler S. Kondo H. Kuijf M. Li M. Luu T. Martinčič P. Morais M. A. Naser B. Oliveira D. Owen S. Pang J. Park S. Park S. Płotka E. Puybareau N. Rajpoot K. Ryu N. Saeed A. Shephard P. Shi D. Štepec R. Subedi G. Tochon H. R. Torres H. Urien J. L. vilaça K. A. Wahid H. Wang J. Wang L. Wang X. Wang B. Wiestler M. Wodzinski F. Xia J. Xie Z. Xiong S. Yang Y. Yang Z. Zhao K. Maier-Hein P. F. Jäger A. Kopp-Schneider L. Maier-Hein Division of Intelligent Medical Systems German Cancer Research Center (DKFZ) Heidelberg Germany Helmholtz Imaging German Cancer Research Center (DKFZ) Heidelberg Germany Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Division of Biostatistics German Cancer Research Center (DKFZ) Heidelberg Germany Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg Germany Faculty of Engineering and Physical Sciences School of Computing University of Leeds Leeds UK Institute of Informatics School of Management HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland Sierre Switzerland Department of Nuclear Medicine and Molecular Imaging Lausanne University Hospital Lausanne Switzerland Technische Hochschule Ingolstadt Ingolstadt Germany Center for Artificial Intelligence and Data Science for Integrated Diagnostics (AI2D) and Center for Biomedical Image Computing and Analytics (CBICA) University of Pennsylvania Philadelphia PA USA Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Department of Radiology Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Department of Radiology University of Washington Seattle WA USA Department of Computer Science Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) University College London London UK Universitat Autònoma de Barcelona & Computer Vision Center Barcelona Spain Division of Translational Surgical Oncology National Center for Tumor Diseases (NCT/UCC) Dresden Dresden Germany Department of Advanced Robotics Istituto Italiano di Tecnologia Italy Department of Electronics Information and Bioengineering Politecnico di Milano Milan Italy IT University of Copenhagen Copenhagen Denmark Department of General Visceral and Transplantation Surgery Heidelberg University Hospital Heidelberg Germany Department of Radiology and Nuc

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to investigating what can be learnt from these competitions. Do they really generate scientific progress? What are common and successful participation strategies? What makes a solution superior to a competing method? To address this gap in the literature, we performed a multicenter study with all 80 competitions that were conducted in the scope of IEEE ISBI 2021 and MICCAI 2021. Statistical analyses performed based on comprehensive descriptions of the submitted algorithms linked to their rank as well as the underlying participation strategies revealed common characteristics of winning solutions. These typically include the use of multi-task learning (63%) and/or multi-stage pipelines (61%), and a focus on augmentation (100%), image preprocessing (97%), data curation (79%), and post-processing (66%). The “typical” lead of a winning team is a computer scientist with a doctoral degree, five years of experience in biomedical image analysis, and four years of experience in deep learning. Two core general development strategies stood out for highly-ranked teams: the reflection of the metrics in the method design and the focus on analyzing and handling failure cases. According to the organizers, 43% of the winning algorithms exceeded the state of the art but only 11% completely solved the respective domain problem. The insights of our study could help researchers (1) improve algorithm development strategies when approaching new problems, and (2) focus on open research questions revealed by this work.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Databases for Iris Biometric systems: A Survey

引用

SN Computer Science 2020年第6期1卷 1-36页

作者： Jan, Farmanullah Ahmed, Mohammed Imran Basheer Min-Allah, Nasro Department of Computer Science College of Computer Science and Information Technology Imam Abdulrahman Bin Faisal University P.O. Box 1982 Dammam Saudi Arabia

Due to latest advances in information technology, the research community has been exploring new applications for iris biometrics. For example, it has now been integrated into the cell phones, auto teller machines, walk-through portals, etc. Literature reveals that most contemporary iris biometric systems perform poorly for image date where a subject may wear cosmetics (e.g., contact lenses), not cooperate with system, stand at far distance, and/or be on the move. Moreover, research community has also started working on subject’s recognition from video, which is a challenging task. To validate the performance of new algorithms, researchers generally need databases. If they do not find relevant databases, then they need to develop databases demanding for funds and workforce. To address this issue, this study offers an extensive survey of public databases. These databases are classified into the ideal, less-constrained, and unconstrained classes using a subjective metric based on the system’s image acquisition range, level of constrains, and noisy factors in image data. Collectively, these databases offer noisy factors such as blur, non-uniform illumination, poor contrast, eyebrows, hair, off-axis and off-angle eyes, partially open and closed eyes, artificial eyelashes and cosmetic lenses, diseased pupils, light reflections, synthetic irises, fake irises, face images captured at a distance, short videos, and so on. images in these databases are acquired using the near infrared (NIR) and visible wavelength (vW) illumination. No doubt, the research community could comfortably use these databases to simulate the ideal and/or non-ideal iris biometric conditions. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Iris at a distance Iris biometrics Iris on the move Near-infrared iris database visible wavelength iris database

来源：评论

学校读者我要写书评

暂无评论

Modeling and optimization of a geometrical calibration procedure for stereoscopic video endoscopes

引用

JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS image SCIENCE AND vISION 2019年第11期36卷 1871-1882页

作者： Gorevoy, Alexey, v Machikhin, Alexander S. Khokhlov, Demid D. Batshev, vladislav, I Natl Res Univ Moscow Power Engn Univ Inst Automat & Comp Engn Dept Elect Engn & Introscopy 14 Krasnokazarmennaya St Moscow 111250 Russia Russian Acad Sci Lab Acoustoopt Spect Sci & Technol Ctr Unique Instrumentat 15 Butlerova St Moscow 117342 Russia Bauman Moscow State Tech Univ Dept Lasers & Optoelect Syst 5 2 Ya Baumanskaya St Moscow 105005 Russia

Stereoscopic video endoscopes are widely used for remote visual inspection and precise three-dimensional (3D) measurements in industrial and biomedical applications. The reconstruction of 3D points from the corresponding image points requires a geometrical calibration procedure, the accuracy of which affects the measurement uncertainty. We propose to perform an optimal choice of the calibration technique and the calibration target parameters using a computer simulation at the design stage. The effectiveness of this approach is demonstrated via the design of a self-developed miniature prism-based stereoscopic system. We simulated acquisition of calibration and measurement data using optical design software. The conventional calibration technique, requiring many positions of the flat target with arbitrary displacements and rotations, was compared with another one that uses the translation stage to provide pure translation of the target. We analyzed the impact of the translation uncertainty, the number of positions, the number of targets, and the uncertainty of image point coordinates on the uncertainty of calibration parameters and 3D measurements. We have shown that the second technique could provide acceptable measurement accuracy using only two images. The results of the computer simulation were confirmed experimentally using the prototype of the stereoscopic endoscope. The proposed approach may be used to optimize calibration techniques and reduce the cost of calibration equipment for various stereoscopic measurement systems. (C) 2019 Optical Society of America

关键词： Camera calibration Digital image processing image processing algorithms image quality Optical design software Three dimensional image processing

来源：评论

学校读者我要写书评

暂无评论

Machine vision Methods, Natural Language processing, and Machine Learning algorithms for Automated Dispersion Plot Analysis and Chemical Identification from Complex Mixtures

引用

ANALYTICAL CHEMISTRY 2019年第16期91卷 10509-10517页

作者： Yeap, Danny Hichwa, Paul T. Rajapakse, Maneeshin Y. Peirano, Daniel J. McCartney, Mitchell M. Kenyon, Nicholas J. Davis, Cristina E. Univ Calif Davis Dept Mech & Aerosp Engn Davis CA 95616 USA Univ Calif Davis Ctr Comparat Resp Biol & Med Davis CA 95616 USA Univ Calif Davis Dept Internal Med 4150 V StSuite 3400 Sacramento CA 95817 USA VA Northern Calif Hlth Care Syst 10535 Hosp Way Mather CA 95655 USA Invicta Med Inc Santa Clara CA USA Google Inc Mountain View CA USA

Gas-phase trace chemical detection techniques such as ion mobility spectrometry (IMS) and differential mobility spectrometry (DMS) can be used in many settings, such as evaluating the health condition of patients or detecting explosives at airports. These devices separate chemical compounds in a mixture and provide information to identify specific chemical species of interest. Further, these types of devices operate well in both controlled lab environments and in-field applications. Frequently, the commercial versions of these devices are highly tailored for niche applications (e.g., explosives detection) because of the difficulty involved in reconfiguring instrumentation hardware and data analysis software algorithms. In order for researchers to quickly adapt these tools for new purposes and broader panels of chemical targets, it is critical to develop new algorithms and methods for generating libraries of these sensor responses. Microelectromechanical system (MEMS) technology has been used to fabricate DMS devices that miniaturize the platforms for easier deployment;however, concurrent advances in advanced data analytics are lagging. DMS generates complex three-dimensional dispersion plots for both positive and negative ions in a mixture. Although simple spectra of single chemicals are straightforward to interpret (both visually and via algorithms), it is exceedingly challenging to interpret dispersion plots from complex mixtures with many chemical constituents. This study uses image processing and computer vision steps to automatically identify features from DMS dispersion plots. We used the bag-of words approach adapted from natural language processing and information retrieval to cluster and organize these features. Finally, a support vector machine (SvM) learning algorithm was trained using these features in order to detect and classify specific compounds in these represented conceptualized data outputs. Using this approach, we successfully maintain a high lev

关键词： Computer vision Machine learning Digital image processing Support-vector machine Microelectromechanical systems Machine vision Natural language processing

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：