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3rd International Symposium on Ambient Intelligence, ISAmI 2012

作者： Susperregi, Loreto Sierra, Basilio Martínez-Otzeta, Jose María Lazkano, Elena Ansuategui, Ander TEKNIKER-IK4 Badajoz Spain University of Basque Country San Sebastian Spain

ISBN: (纸本)9783642287824

In this paper we propose a novel approach for low cost multimodal detection of humans with mobile service robots. Detecting people is a key capability for robots that operate in populated environments. The main objective of this article is to illustrate the implementation of machine learning paradigms with computer vision techniques to improve human detection using 3D vision and a thermal sensor. Experimental results carried out in a manufacturing shop-floor show that the percentage of wrong classified using only Kinect is drastically reduced with the classification algorithms and with the combination of the three information sources. © 2012 Springer-Verlag.

关键词： computer vision

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Navigating a Path Delineated by Colored Flags: An Approach for a 2011 IGVC Requirement

Navigating a Path Delineated by Colored Flags: An Approach f...

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Conference on intelligent robots and computer vision XXIX - algorithms and techniques

作者： Szmatula, Alex Parrish, Matt Krishnan, Mohan Paulik, Mark Mohammad, Utayba Luo, Chaomin Univ Detroit Mercy ECE Dept Detroit MI 48221 USA

ISBN: (纸本)9780819489487

In this work, we address a situation presented as a new requirement for the Autonomous Challenge portion of the 2011 intelligent Ground Vehicle Competition (IGVC). This new requirement is to navigate between red and green colored flags placed within the normal white painted lane lines. The regular vision algorithms had to be enhanced to reliably identify and localize the colored flags, while the Navigation algorithms had to be modified to satisfy the constraints placed on the robot while transiting through the flag region. The challenge in finding a solution was the size of the flags, the possibility of loosing them against the background, as well as their movement in the wind. The attendant possibility of false positives and negatives also needed to be addressed to increase reliability of detection. Preliminary tests on the robot have produced positive results.

关键词： Autonomous robots Color Image Processing VFH Navigation Lane Following IGVC

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A General Model and Calibration Method for Spherical Stereoscopic vision

A General Model and Calibration Method for Spherical Stereos...

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Conference on intelligent robots and computer vision XXIX - algorithms and techniques

作者： Feng, Weijia Roning, Juha Kannala, Juho Zong, Xiaoning Zhang, Baofeng Tianjin Univ State Key Lab Precis Measuring Technol & Instrume Tianjin 300072 Peoples R China Oulu Univ Infotech Oulu Oulu Finland Oulu Univ Elect & Informat Engn Dept Oulu Finland

ISBN: (纸本)9780819489487

In geometric calibration of stereoscopic cameras the object is to determine a set of parameters which describe the mapping from 3D reference coordinates to 2D image coordinates, and indicate the geometric relationships between the cameras. While various methods for stereo cameras with ordinary lenses can be found from the literature, stereoscopic vision with extremely wide angle lenses has been much less discussed. Spherical stereoscopic vision is more and more convenient in computer vision applications. However, its use for 3D measurement purposes is limited by the lack of an accurate, general, and easy-to-use calibration procedure. Hence, we present a geometric model for spherical stereoscopic vision equipped by extremely wide angle lenses. Then, a corresponding generic mathematical model is built. Method for calibration the parameters of the mathematical model is proposed. This paper shows practical results from the calibration of two high quality panomorph lenses mounted on cameras with 2048x1536 resolutions. Here, the stereoscopic vision system is flexible, the position and orientation of the cameras can be adjusted randomly. The calibration results include interior orientation, exterior orientation and the geometric relationships between the two cameras. The achieved level of calibration accuracy is very satisfying.

关键词： spherical stereoscopic vision panomorph lens general geometric and mathematical model parameter calibration

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PRoViScout - a Planetary Scouting Rover Demonstrator

PRoViScout - a Planetary Scouting Rover Demonstrator

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Conference on intelligent robots and computer vision XXIX - algorithms and techniques

作者： Paar, Gerhard Woods, Mark Gimkiewicz, Christiane Labrosse, Frederic Medina, Alberto Tyler, Laurence Barnes, David P. Fritz, Gerald Kapellos, Konstantinos JOANNEUM RES Steyrergasse 17 A-8010 Graz Austria SciSys Bristol Avon BS4 5SS England CSEM Zurich Ctr CH-8005 Zurich Switzerland Aberystwyth Univ Aberystwyth Dyfed Wales GMVc Isaac Newton Tres Cantos 28760 Spain TRASYS Space B-1560 Hoeilaart Belgium

ISBN: (纸本)9780819489487

Mobile systems exploring Planetary surfaces in future will require more autonomy than today. The EU FP7-SPACE Project ProViScout (2010-2012) establishes the building blocks of such autonomous exploration systems in terms of robotics vision by a decision-based combination of navigation and scientific target selection, and integrates them into a framework ready for and exposed to field demonstration. The PRoViScout on-board system consists of mission management components such as an Executive, a Mars Mission On-Board Planner and Scheduler, a Science Assessment Module, and Navigation & vision Processing modules. The platform hardware consists of the rover with the sensors and pointing devices. We report on the major building blocks and their functions & interfaces, emphasizing on the computer vision parts such as image acquisition (using a novel zoomed 3D-Time-of-Flight & RGB camera), mapping from 3D-TOF data, panoramic image & stereo reconstruction, hazard and slope maps, visual odometry and the recognition of potential scientifically interesting targets.

关键词： Planetary rover autonomous navigation robotic vision planning 3D-TOF Mars exploration decision making planetary science science interest

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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.

关键词： Special issues and sections Low-power electronics 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

ISBN: (纸本)9780819484154

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 freedom robotic arms and maintain better awareness of the operating environment through haptic feedback. In addition to reporting resistance, haptic feedback can help make operators feel like they are actually there with the robot, opening doors, unscrewing blast caps, cutting wires, or removing batteries. Coupled with intuitive controls and advanced video feedback, the goal of this project is to provide users with the sensation that the robot is an extension of their body, all from a safe distance.

关键词： Robotic Manipulation Haptic Feedback Human System Integration computer vision GUI

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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

ISBN: (纸本)9780819484154

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 paper, we propose a multiple feature fusion framework to improve the tracking by assigning appropriate weights to individual features. The feature weights are optimally obtained by a waterfilling procedure that maximizes mutual information between target object features and query features. Especially, in this paper, we focus on a particle filter tracking implementation of the multiple feature fusion framework. Our experiments show that object tracking with multiple features outperforms single feature based tracking methods and illustrates that the proposed optimal feature weighting increases robustness of multiple-feature based tracking performance.

关键词： Particle filters Detection and tracking algorithms Particles Process modeling Algorithm development Signal to noise ratio Visual process modeling computer vision technology Dynamical systems Machine vision

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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

ISBN: (纸本)9780819484154

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 sensors (video cameras, laser range finder, Radar) and methodologies. This paper proposes a new approach for detecting and tracking objects using stereo vision with linear cameras. After the matching process applied to edge points extracted from the images, the reconstructed points in the scene are clustered using spectral analysis. The obtained clusters are then tracked throughout their center of gravity using a Kalman filter and a Nearest Neighbour (NN) based data association algorithm. The approach is tested and evaluated on real data to demonstrate its effectiveness for obstacle detection and tracking in front of a vehicle. This work is a part of a project that aims to develop advanced driving aid systems, supported by the CPER, STIC and Volubilis programs.

关键词： Stereo vision Spectral clustering Tracking Data association

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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

ISBN: (纸本)9780819484154

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 offer a depth map, it has low resolution and much noise. Therefore, it can not be used to 3D reconstruction. However, combining two cameras with one 3D image sensor and regarding the depth map as an initial sparse disparity map is an advantage method in stereo vision matching. This method can largely improve the matching accuracy and decrease the running time. Finally, a dense disparity map can be obtained. The experiment results indicate that the proposed algorithm performs well and the disparity map has more accuracy comparing with existing methods.

关键词： Stereo vision 3D image sensor Area matching Belief propagation Left-and-right consistency Disparity map

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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

ISBN: (纸本)9780819484154

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 multidisciplinary exercise in product realization that challenges college engineering student teams to integrate advanced control theory, machine vision, vehicular electronics and mobile platform fundamentals to design and build an unmanned system. Teams from around the world focus on developing a suite of dual-use technologies to equip ground vehicles of the future with intelligent driving capabilities. Over the past 18 years, the competition has challenged undergraduate, graduate and Ph.D. students with real world applications in intelligent transportation systems, the military and manufacturing automation. To date, teams from over 75 universities and colleges have participated. This paper describes some of the applications of the technologies required by this competition and discusses the educational benefits. The primary goal of the IGVC is to advance engineering education in intelligent vehicles and related technologies. The employment and professional networking opportunities created for students and industrial sponsors through a series of technical events over the four-day competition are highlighted. Finally, an assessment of the competition based on participation is presented.

关键词： intelligent robots autonomous systems ground vehicles vehicle control engineering education IGVC

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