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检索条件"任意字段=Intelligent Robots and Computer Vision IX: Algorithms and Techniques"
670 条 记 录,以下是111-120 订阅
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Guest editorial emerging circuits and systems techniques for ultra-low power body sensor networks
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IEEE Journal on Emerging and Selected Topics in Circuits and Systems 2012年 第1期2卷 1-3页
作者: Calhoun, Benton Chandrakasan, Anantha P. Otis, Brian Verma, Naveen Yoo, Hoi-Jun Department of Electrical and Computer Engineering University of Virginia Charlottesville VA 22904 United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA 02139 United States Department of Electrical Engineering University of Washington Seattle WA 98195 United States Department of Electrical Engineering Princeton University Princeton NJ 08540 United States Department of Electrical Engineering Korea Advanced Institute of Science and Technology Daejeon 08540 Korea Republic of
This special issue brings together 11 papers on approaches spanning circuits, architectures, algorithms, and system design that demonstrates promising solutions to emerging critical problems in body sensor networks.
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Intuitive control of robotic manipulators
Intuitive control of robotic manipulators
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Conference on intelligent robots and computer vision XXVIII: algorithms and techniques
作者: Rusbarsky, David Gray, Jeremy Peters, Douglas RE2 Inc 4925 Harrison St Pittsburgh PA 15201 USA US Army TARDEC Warren MI 48397 USA
As part of the Modular intelligent Manipulation system with Intuitive Control program, industry is working with the U. S. Army to explore technologies that will allow a user to intuitively control multiple degree of f... 详细信息
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The 18TH Annual intelligent Ground Vehicle Competition: Trends and Influences for intelligent Ground Vehicle Control
The 18TH Annual Intelligent Ground Vehicle Competition: Tren...
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Conference on intelligent robots and computer vision XXVIII: algorithms and techniques
作者: Theisen, Bernard L. Frederick, Philip Smuda, William USA TARDEC Warren MI 48397 USA
The intelligent Ground Vehicle Competition (IGVC) is one of four, unmanned systems, student competitions that were founded by the Association for Unmanned Vehicle Systems International (AUVSI). The IGVC is a multidisc... 详细信息
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A Multiple Feature Based Particle Filter Using Mutual Information Maximization
A Multiple Feature Based Particle Filter Using Mutual Inform...
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Conference on intelligent robots and computer vision XXVIII: algorithms and techniques
作者: Hong, Kihyun Han, Kyuseo Purdue Univ W Lafayette IN 47907 USA
In designing a tracking algorithm, utilizing several different features, e. g., color histogram, gradient histogram and other object descriptors, is preferable to increase robustness of tracking performance. In this p... 详细信息
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Stereo Matching Based on Two Cameras and One 3D Image Sensor
Stereo Matching Based on Two Cameras and One 3D Image Sensor
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Conference on intelligent robots and computer vision XXVIII: algorithms and techniques
作者: Yang, Lu Shao, Xiaowei Shibasaki, Ryosuke Wang, Rongben Univ Tokyo Ctr Spatial Informat Sci Tokyo Japan Jilin Univ Intelligent Vehicle Grp Changchun Peoples R China
Due to the problems of noise, textureless region and depth discontinuity in stereo matching, a new matching method based on two cameras and one 3D image sensor is proposed in this paper. Though the 3D image sensor can... 详细信息
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Linear stereo vision based objects detection and tracking using spectral clustering
Linear stereo vision based objects detection and tracking us...
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Conference on intelligent robots and computer vision XXVIII: algorithms and techniques
作者: Moqqaddem, Safaa Ruichek, Y. Touahni, R. Sbihi, A. Univ Technol Belfort Montbelaird Syst & Transportat Lab F-90010 Belfort France Ibn Tofail Univ Kenitra LASTID Lab Kenitra Morocco
cr Objects detection and tracking is a key function for many applications like video surveillance, robotic, intelligent transportation systems, ... etc. This problem is widely treated in the literature in terms of sen... 详细信息
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Phobetor: Princeton University's Entry in the 2010 intelligent Ground Vehicle Competition
<i>Phobetor</i>: Princeton University's Entry in the 2010 In...
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Conference on intelligent robots and computer vision XXVIII: algorithms and techniques
作者: Newman, Joshua Zhu, Han Partridge, Brenton A. Szocs, Laszlo J. Abiola, Solomon O. Corey, Ryan M. Suresh, Srinivasan A. Yu, Derrick D. Princeton Univ Dept Elect Engn Princeton NJ 08544 USA Princeton Univ Dept Mech & Aerosp Engn Princeton NJ 08544 USA
In this paper we present Phobetor, an autonomous outdoor vehicle originally designed for the 2010 intelligent Ground Vehicle Competition (IGVC). We describe new vision and navigation systems that have yielded 3x incre... 详细信息
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Design and Evaluation of Multi-Media Security Warnings for the Interaction between Humans and Industrial robots
Design and Evaluation of Multi-Media Security Warnings for t...
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Conference on intelligent robots and computer vision XXVIII: algorithms and techniques
作者: Fruth, Jana Kraetzer, Christian Dittmann, Jana Univ Magdeburg D-39016 Magdeburg Germany
In this document a multi-media security warning design approach for automated production scenarios with industrial robots is introduced. This first approach is based on and adapts design principles of common security ... 详细信息
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Augmented reality user interface for mobile ground robots with manipulator arms
Augmented reality user interface for mobile ground robots wi...
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Conference on intelligent robots and computer vision XXVIII: algorithms and techniques
作者: Vozar, Steven Tilbury, Dawn M. Univ Michigan Dept Mech Engn Ann Arbor MI 48109 USA
Augmented Reality (AR) is a technology in which real-world visual data is combined with an overlay of computer graphics, enhancing the original feed. AR is an attractive tool for teleoperated UGV UIs as it can improve... 详细信息
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Lane Marking Detection by Extracting White Regions with Predefined Width from Bird's-Eye Road Images
Lane Marking Detection by Extracting White Regions with Pred...
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Conference on intelligent robots and computer vision XXVIII: algorithms and techniques
作者: Abe, Sadayuki Shoji, Kenji Toyama, Fubito Miyamichi, Juichi Utsunomiya Univ Grad Sch Engn Utsunomiya Tochigi 3218585 Japan
Detecting lane markings on roads from in-vehicle camera images is very important because it is one of the fundamental tasks for autonomous running technology and safety driving support system. There are several lane m... 详细信息
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