检索结果-内蒙古大学图书馆

International Conference on Information and Automation (ICIA)

作者： Yan Zhou Huiwen Guo Guoyuan Liang Xinyu Wu Shenzhen College of Advanced Technology University of Chinese Academy of Sciences Guangdong Provincial Key Lab of Robotics and Intelligent Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Dept. Mechanical and Automation Engineering The Chinese University of Hong Kong

In this paper, we present an automatic method to remove shadows in light field images. Taking into account the internal structure of the light field data, depth map of the captured scene is extracted to calculate the surface normal. Using nonlocal matching by combining chromaticity, normal and spatial location information in an anisotropic window, the shadow confidence of each pixel is established. For effectively utilizing the prior knowledge, MRF (Markov random fields) is introduced to obtain the shadow label of each pixel iteratively. Once obtained the shadow labels of pixels, inpainting with an energy minimize framework is used to remove shadows. The experimental results on real data demonstrate good performance of this algorithm.

关键词： Image color analysis Cameras Computational modeling Computer vision Minimization Mathematical model Lighting

来源：评论

学校读者我要写书评

暂无评论

Corrigendum to "European contribution to the study of ROS: A summary of the findings and prospects for the future from the COST action BM1203 (EU-ROS)" [Redox Biol. 13 (2017) 94-162]

引用

Redox biology 2018年 14卷 694-696页

作者： J Egea I Fabregat Y M Frapart P Ghezzi A Görlach T Kietzmann K Kubaichuk U G Knaus M G Lopez G Olaso-Gonzalez A Petry R Schulz J Vina P Winyard K Abbas O S Ademowo C B Afonso I Andreadou H Antelmann F Antunes M Aslan M M Bachschmid R M Barbosa V Belousov C Berndt D Bernlohr E Bertrán A Bindoli S P Bottari P M Brito G Carrara A I Casas A Chatzi N Chondrogianni M Conrad M S Cooke J G Costa A Cuadrado P My-Chan Dang B De Smet B Debelec-Butuner I H K Dias J D Dunn A J Edson M El Assar J El-Benna P Ferdinandy A S Fernandes K E Fladmark U Förstermann R Giniatullin Z Giricz A Görbe H Griffiths V Hampl A Hanf J Herget P Hernansanz-Agustín M Hillion J Huang S Ilikay P Jansen-Dürr V Jaquet J A Joles B Kalyanaraman D Kaminskyy M Karbaschi M Kleanthous L O Klotz B Korac K S Korkmaz R Koziel D Kračun K H Krause V Křen T Krieg J Laranjinha A Lazou H Li A Martínez-Ruiz R Matsui G J McBean S P Meredith J Messens V Miguel Y Mikhed I Milisav L Milković A Miranda-Vizuete M Mojović M Monsalve P A Mouthuy J Mulvey T Münzel V Muzykantov I T N Nguyen M Oelze N G Oliveira C M Palmeira N Papaevgeniou A Pavićević B Pedre F Peyrot M Phylactides G G Pircalabioru A R Pitt H E Poulsen I Prieto M P Rigobello N Robledinos-Antón L Rodríguez-Mañas A P Rolo F Rousset T Ruskovska N Saraiva S Sasson K Schröder K Semen T Seredenina A Shakirzyanova G L Smith T Soldati B C Sousa C M Spickett A Stancic M J Stasia H Steinbrenner V Stepanić S Steven K Tokatlidis E Tuncay B Turan F Ursini J Vacek O Vajnerova K Valentová F Van Breusegem L Varisli E A Veal A S Yalçın O Yelisyeyeva N Žarković M Zatloukalová J Zielonka R M Touyz A Papapetropoulos T Grune S Lamas H H H W Schmidt F Di Lisa A Daiber Institute Teofilo Hernando Department of Pharmacology School of Medicine Univerisdad Autonoma de Madrid Spain. Bellvitge Biomedical Research Institute (IDIBELL) and University of Barcelona (UB) L'Hospitalet Barcelona Spain. LCBPT UMR 8601 CNRS - Paris Descartes University Sorbonne Paris Cité Paris France. Brighton & Sussex Medical School Brighton UK. Experimental and Molecular Pediatric Cardiology German Heart Center Munich at the Technical University Munich Munich Germany DZHK (German Centre for Cardiovascular Research) partner site Munich Heart Alliance Munich Germany. Faculty of Biochemistry and Molecular Medicine and Biocenter Oulu University of Oulu Oulu Finland. Conway Institute School of Medicine University College Dublin Dublin Ireland. Department of Physiology University of Valencia Spain. Experimental and Molecular Pediatric Cardiology German Heart Center Munich at the Technical University Munich Munich Germany. Institute of Physiology JLU Giessen Giessen Germany. University of Exeter Medical School St Luke's Campus Exeter EX1 2LU UK. Life & Health Sciences and Aston Research Centre for Healthy Ageing Aston University Aston Triangle Birmingham B4 7ET UK. School of Life & Health Sciences Aston University Aston Triangle Birmingham B47ET UK. Laboratory of Pharmacology Faculty of Pharmacy National and Kapodistrian University of Athens Greece. Institute for Biology-Microbiology Freie Universität Berlin Berlin Germany. Departamento de Química e Bioquímica and Centro de Química e Bioquímica Faculdade de Ciências Portugal. Department of Medical Biochemistry Faculty of Medicine Akdeniz University Antalya Turkey. Vascular Biology Section & Whitaker Cardiovascular Institute Boston University School of Medicine Boston MA USA. Center for Neurosciences and Cell Biology University of Coimbra and Faculty of Pharmacy University of Coimbra Coimbra Portugal. Molecular technologies laboratory Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry Miklukho

来源：评论

学校读者我要写书评

暂无评论

Embedding shape memory alloy actuators in miniature articulating polymer structures using in-mold assembly

Embedding shape memory alloy actuators in miniature articula...

引用

40th Annual North American Manufacturing Research Conference, NAMRC40

作者： Ananthanarayanan, Arvind Ho, Mingyen Ehrlich, Leicester Desai, Jaydev P. Gupta, Satyandra K. Biomimetics Robotics Lab. Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge MA United States Robotics Automation and Medical Systems Lab. Department of Mechanical Engineering University of Maryland College Park MD United States Advanced Manufacturing Lab. Department of Mechanical Engineering University of Maryland College Park MD United States Department of Mechanical Engineering Institute of Systems Research University of Maryland College Park MD United States

ISBN: (纸本)9781622762477

Fabrication and assembly of highly articulating structures has been a challenge for manufacturing engineers for several years. This challenge is further enhanced when the structures are in the miniature size scales. As part of our previous work, we have developed a process called in-mold assembly to tackle this challenging manufacturing and assembly task. However, attaching the actuators to such miniature structures remains a challenging task and can be expensive in terms of costs. In this work, we will demonstrate a single step in-mold assembly method to fabricate miniature multi degree of freedom (DOF) mechanical devices with embedded SMA actuators. We have developed design optimization methods to shield the SMA actuators from the thermal cycles seen during the injection molding process. This is done to minimize thermal impact on the SMA actuators during embedding in in-mold assembled articulating joints. We have also developed experimental methods to calibrate the force and position of the embedded SMA actuators with respect to temperature. Our experimental results indicate that the SMA behavior is very repeatable with respect to temperature. Hence temperature can be used as a sensory feedback for position and force control. Using the approaches developed as part of this work, we have successfully fabricated an in-mold assembled multi DOF miniature robot with embedded SMA actuators.

关键词： Fabrication

来源：评论

学校读者我要写书评

暂无评论

A multiple feature fusion model for image segmentation based on hierarchical visual pathway

引用

Advances in Information Sciences and Service Sciences 2012年第8期4卷 274-282页

作者： Hu, Dekun Li, Jianping Yang, Simon X. Gregori, Stefano School of Computer Science and Engineering University of Electronic Science and Technology of China China Advanced Robotics and Intelligent Systems Lab School of Engineering University of Guelph Canada

To segment an object from its background in an image for advanced vision processing, this paper presents a novel bio-inspired general framework for image segmentation in complex nature scenes, which is a hierarchical system that mimics the organization of layered early visual area in primate visual cortex. The proposed methodology consists of two typical stages: the first stage is a parallel modular structure including three segmenting operators based on color feature, form feature and texture feature, each of which solves the segmentation problem independently for the same input. Then, a fusion operation, multiple feature fusion segmentation (MFFS), integrates these three feature segmentations together through the backpropagation neuron network (BPNN) in the last stage, which simulates the operation of area following the lateral geniculate nucleus in primary visual cortex. The proposed approach is applied to several segmentation experiments of many single objects in clustering conditions, the result shows that the approach is capable of competing with state-of-the-art systems.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

An object recognition model with top-down prediction and context

引用

International Journal of Advancements in Computing technology 2012年第12期4卷 283-290页

作者： Hu, Dekun Li, Jianping Yang, Simon X. University of Electronic Science and Technology of China School of Computer Science and Engineering Chengdu 611731 China University of Guelph School of Engineering Advanced Robotics and Intelligent Systems Lab Guelph ON Canada

Based on the trickle-up and trickle-down process in primate visual pathway, an ideal model for object recognition is researched. Firstly, the information of the low spatial frequency are extracted and passed to high visual cortex, the bank of the objects in memory is activated by this input, so the prediction of the possible candidate objects is pulled out. Then, the information of high spatial frequency, which keeps the invariability and selectivity of an object, is gained through the trickle-up process. With the top-down prediction, the context and the detailed information from trickle-up pathway, the object is recognized by Bayes inference. The performance of the proposed model is proved by several experiments.

关键词： Object recognition

来源：评论

学校读者我要写书评

暂无评论

Image segmentation based on trickle-up and trickle-down visual pathway in primate

引用

Journal of Computational Information systems 2012年第9期8卷 3757-3765页

作者： Hu, Dekun Yang, Simon X. Gregori, Stefano Li, Jianping Fu, Bo University of Electronic Science and Technology of China School of Computer Science and Engineering Jianshe Road Chengdu 610054 China University of Guelph School of Engineering Advanced Robotics and Intelligent Systems Lab. Guelph Ont. N1G 2W1 Canada

To locate the object accurately in a scene for further vision processing, a novel bio-inspired model for image segmentation is proposed, which closely follows the computation of trickle-up and trickle-down processing in primate visual pathways. The trickle-up stage is a parallel modular structure consisting of three segmenting operators implementing the function as the parvocellular, magnocellular and koniocelluar pathways. The computation model of trickle-down path, predicts incoming stimuli based on the prior knowledge of the scenes. The proposed approach is applied to several segmentation experiments of clustering conditions, the results demonstrate that the performance of the proposed approach surpasses those achieved by previous top-down or bottom-up schemes on figure-ground segmentation. © 2011 by Binary Information Press.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

PANDORA: Persistent Autonomy through Learning, Adaptation, Observation and Re-planning

引用

IFAC Proceedings Volumes 2012年第5期45卷 367-372页

作者： David M. Lane Francesco Maurelli Tom Larkworthy Darwin Caldwell Joaquim Salvi Maria Fox Konstantinos Kyriakopoulos Ocean Systems Lab Heriot-Watt University Edinburgh UK Advanced Robotics Department Italian Institute of Technology (IIT) Genova Italy Depart. d'Arquitectura i Tecnologia de Computadors Campus Montilivi Universitat de Girona Spain Department of Informatics King's College London UK Control Systems Laboratory National Technical University of Athens (NTUA) Greece

Autonomous robots are not very good at being autonomous. Operating in real environments, they easily get stuck, often ask for help, and generally succeed only when attempting simple tasks in well-known situations. PANDORA is a three year project that will develop and evaluate new computational methods to make underwater robots Persistently Autonomous, significantly reducing the frequency of assistance requests. The key to this is an ability to recognise failure and respond to it, at all levels of abstraction and time constant. Under the guidance of major industrial players, validation tasks of Inspection, cleaning and valve turning will be trialled with partners’ AUVs in Scotland and Spain.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Persistent autonomy: the challenges of the PANDORA project

引用

IFAC Proceedings Volumes 2012年第27期45卷 268-273页

作者： David M. Lane Francesco Maurelli Petar Kormushev Marc Carreras Maria Fox Konstantinos Kyriakopoulos Ocean Systems Lab Heriot-Watt University Edinburgh UK Advanced Robotics Department Italian Institute of Technology (IIT) Genova Italy Depart. d'Arquitectura i Tecnologia de Computadors Campus Montilivi Universitat de Girona Spain Department of Informatics King's College London UK Control Systems Laboratory National Technical University of Athens (NTUA) Greece

PANDORA is a three year project that is developing new computational methods to make underwater robots Persistently Autonomous, significantly reducing the frequency of assistance requests. The aim of the project is to extend the range of tasks that can be carried on autonomously and increase their complexity while reducing the need for operator assistances. Dynamic adaptation to the change of conditions is very important while addressing autonomy in the real world and not just in well-known situation. The key of Pandora is the ability to recognise failure and respond to it, at all levels of abstraction. Under the guidance of major industrial players, validation tasks of inspection, cleaning and valve turning will be trialled with partners’ AUVs in Scotland and Spain.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Design and Analysis of Group Escape Behavior for Distributed Autonomous Mobile Robots

Design and Analysis of Group Escape Behavior for Distributed...

引用

2011 IEEE International Conference on robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)

作者： Hongkyu Min Zhidong Wang Biomimetic Systems Lab. Department of Advanced RoboticsChiba Institute of TechnologyJapan

In designing distributed control architecture of multiple autonomous robot system, behaviors and cooperative control strategies using by insects, birds, fishes, animals and human being are usually considered as good models because they are with many very nice features such as simplicity, flexibility, robustness and fault tolerance, etc. Within them, schooling behavior of fish and flocking behavior of birds were well studied for controlling group motion of robots with local sensing ability and local interaction only. Several research groups have proposed and successfully demonstrated full distributed control architectures for various size robot swarm system via simulations or experiments. To many types of fish schools, we can observe another very interesting behavior, Group Escape Behavior which shows that all fish change their moving directions rapidly and cooperatively without global broadcasting communications while some fish sense a predator. In this study, we proposed a distributed algorithm to perform Group Escape Behavior without inter-robot communication by mimicking behaviors of fish schools. It provides an alternate method for robot teams to achieve some emergency tasks while inter-robot communication is restricted. In this paper, the proposed control mechanism for achieving group escape behavior is introduced, and the characteristics of escape motion mode transition in the swarm are discussed. Some simulation results and experimental results are provided for illustrating the validity of the proposed algorithm, and for analyzing performance of the group escape behavior implemented.

关键词： Educational institutions Robot sensing systems Robot kinematics Marine animals Collision avoidance

来源：评论

学校读者我要写书评

暂无评论

Providing ground-truth data for the Nao robot platform

引用

Lecture Notes in Computer Science

作者： Niemüller, Tim Ferrein, Alexander Eckel, Gerhard Pirro, David Podbregar, Patrick Kellner, Tobias Rath, Christof Steinbauer, Gerald Knowledge-based Systems Group RWTH Aachen University Aachen Germany Robotics and Agents Research Lab. University of Cape Town Cape Town South Africa Institute for Electronic Music and Acoustics University of Music and Performing Arts Graz Austria Institute for Software Technology Graz University of Technology Graz Austria

ISBN: (纸本)9783642202162

Collecting ground truth-data for real-world applications is a non-trivial but very important task. In order to evaluate new algorithmic approaches or to benchmark system performance, they are inevitable. This is particularly true for robotics applications. In this paper we present our data collection for the biped humanoid robot Nao. Reflective markers were attached to Nao's body, and the positions and orientation of its body and head were tracked in 6D with an accurate professional vision-based body motion tracking system. While doing so, the data of Nao's internal state, i.e., the readings of all its servos, the inertial measurement unit, the force receptors plus a camera stream of the robot's camera were stored for different, typical robotic soccer scenarios in the context of the RoboCup Standard Platform League. These data will be combined in order to compile an accurate ground-truth data set. We describe how the data were recorded, in which format they are stored, and show the usability of the logged data in some first experiments on the recorded data sets. The data sets will be made publicly available for the RoboCup's Standard Platform League community. © 2011 Springer-Verlag.

关键词： Benchmarking

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：