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检索条件"任意字段=Conference on Intelligent Robots and Computer Vision XXIX - Algorithms and Techniques"

共 373 条记录，以下是101-110 订阅

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An Embedded Omnidirectional vision Navigator for Automatic Guided Vehicles

An Embedded Omnidirectional Vision Navigator for Automatic G...

引用

conference on intelligent robots and computer vision XXVIII: algorithms and techniques

作者： Feng, Weijia Zhang, Baofeng Roning, Juha Cao, Zuoliang Zong, Xiaoning Tianjin Univ State Key Lab Precis Measuring Technol & Instrume Tianjin 300072 Peoples R China Univ Oulu Elect & Informat Engn Dept FIN-4500900 Oulu Finland Infotech Oulu Intelligent Syst Grp FIN-4500900 Oulu Finland Tianjin Univ Technol Sch Mech Engn Tianjin 300384 Peoples R China

ISBN: (纸本)9780819484154

Omnidirectional vision appears the definite significance since its advantage of acquiring full 360 horizontal field of vision information simultaneously. In this paper, an embedded original omnidirectional vision navigator (EOVN) based on fish-eye lens and embedded technology has been researched. Fish-eye lens is one of the special ways to establish omnidirectional vision. However, it appears with an unavoidable inherent and enormous distortion. A unique integrated navigation method which is conducted on the basis of targets tracking has been proposed. It is composed of multi-target recognition and tracking, distortion rectification, spatial location and navigation control. It is called RTRLN. In order to adapt to the different indoor and outdoor navigation environments, we implant mean-shift and dynamic threshold adjustment into the Particle Filter algorithm to improve the efficiency and robustness of tracking capability. RTRLN has been implanted in an independent development embedded platform. EOVN likes a smart crammer based on COMS+FPGA+DSP. It can guide various vehicles in outdoor environments by tracking the diverse marks hanging in the air. The experiments prove that the EOVN is particularly suitable for the guidance applications which need high requirements on precision and repeatability. The research achievements have a good actual applied inspection.

关键词： Omnidirectional vision Fish-eye lens Particle Filter Embedded system Automatic navigation

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FirstAidAssistanceSystem (FAAS) - Improvement of First Aid Measures Using Car2Car-Communication Technology

FirstAidAssistanceSystem (FAAS) - Improvement of First Aid M...

引用

conference on intelligent robots and computer vision XXVIII: algorithms and techniques

作者： Tuchscheerer, Sven Hoppe, Tobias Kraetzer, Christian Dittmann, Jana Univ Magdeburg D-39106 Magdeburg Germany

ISBN: (纸本)9780819484154

This work's goal is the enhancement of first aid measures directly after car accidents by calling suited first aiders via Car-to-Car (C2C) communication and to assist them providing detailed multimedia support instructions. Our concept combines upcoming C2C communication technologies with established technology, in particular GPS and GSM. After a collision, the proposed FirstAidAssistanceSystem (FAAS) sends a broadcast message using C2C technology according to the IEEE 802.11p standard. All nearby cars (as potential first aiders) are located and at least one nearest candidate (we suggest 3-5) driving towards the accident scene is chosen and notified as first aider. A support guide on his multipurpose display (e. g. the navigation system) provides first aiders with detailed instructions and illustrative tutorials. The paper presents our concept in detail with a discussion of practical evaluation criteria and an introduction of a first test implementation.

关键词： Autonomous multi-vehicle collaboration People and vehicle recognition and tracking Tracking and scene analysis for intelligent vehicles Car-to-car communication Road safety Enhancement of first aid measures First aid assistance

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Calibration and Rectification Research for Fish-eye lens Application

Calibration and Rectification Research for Fish-eye lens App...

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conference on intelligent robots and computer vision XXVIII: algorithms and techniques

作者： Feng, Weijia Zhang, Baofeng Cao, Zuoliang Zong, Xiaoning Roning, Juha Tianjin Univ State Key Lab Precis Measuring Technol & Instrume Tianjin 300072 Peoples R China Tianjin Univ Technol Sch Elect Engn Tianjin 300384 Peoples R China Univ Oulu Dept Elect & Informat Engn FIN-4500900 Oulu Finland Infotech Oulu Intelligent Syst Grp FIN-4500900 Oulu Finland

ISBN: (纸本)9780819484154

The purpose of this paper aims to promote the application of fish-eye lens. Accurate parameters calibration and effective distortion rectification of an imaging device is of utmost importance in machine vision. Fish-eye lens produces a hemispherical field of view of an environment, which appears definite significant since its advantage of panoramic sight with a single compact visual scene. But fish-eye lens image has an unavoidable inherent severe distortion. The precise optical center is the precondition for other parameters calibration and distortion correction. Therefore, three different optical center calibration methods have been researched for diverse applications. Support Vector Machine (SVM) and Spherical Equidistance Projection Algorithm (SEPA) are integrated to replace traditional rectification methods. SVM is a machine learning method based on the theory of statistics, which have good capabilities of imitating, regression and classification. In this research, SVM provides a mapping table between the fish-eye image and the standard image for human eyes. Two novel training models have been designed. SEPA has been applied to promote the rectification effect of the edge of fish-eye lens image. The validity and effectiveness of our achievements are demonstrated by processing the real images.

关键词： Fish-eye lens calibration distortion rectification SVM spherical equidistance projection algorithm

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Fast Correspondence of Unrectified Stereo Images using Genetic Algorithm and Spline Representation

Fast Correspondence of Unrectified Stereo Images using Genet...

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27th conference on intelligent robots and computer vision: algorithms and techniques

作者： Tippetts, Beau Lee, Dah Jye Archibald, James Brigham Young Univ Provo UT 84602 USA

ISBN: (纸本)9780819479327

Spline representations have been successfully used with a genetic algorithm to determine a disparity map for stereo image pairs. This paper describes work to modify the genetic spline algorithm to use a version of the genetic algorithm with small populations and few generations, previously referred to as "Tiny GAs", to allow algorithm implementations to achieve real-time performance. The algorithm was also targeted at unrectified stereo image pairs to reduce preprocessing making it more suitable for real-time performance. To ensure disparity map quality is preserved, the two dimensional nature of images is maintained to leverage persistent information instead of representing the images as 1-D signals as suggested in the orignal genetic spline algorithm. Experimental results are given of this modified algorithm using unrectified images.

关键词： Genetic algorithms Detection and tracking algorithms Visual process modeling Genetics Computing systems Stereo vision systems Cameras Visualization computer vision technology Machine vision

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The 17TH Annual intelligent Ground Vehicle Competition: intelligent robots Built by intelligent Students

The 17TH Annual Intelligent Ground Vehicle Competition: Inte...

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27th conference on intelligent robots and computer vision: algorithms and techniques

作者： Theisen, Bernard L. USA TARDEC Warren MI 48397 USA

ISBN: (纸本)9780819479327

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 ground vehicle. Teams from around the world focus on developing a suite of dual-use technologies to equip their system of the future with intelligent driving capabilities. Over the past 17 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 70 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 engineering education IGVC

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Predictive vision from stereo video: Robust object detection for autonomous navigation using the Unscented Kalman Filter on streaming stereo images

Predictive vision from stereo video: Robust object detection...

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27th conference on intelligent robots and computer vision: algorithms and techniques

作者： Rosselot, Donald Aull, Mark Hall, Ernest L. Univ Cincinnati Sch Dynam Syst Ctr Robot Res Cincinnati OH 45221 USA

ISBN: (纸本)9780819479327

A predictive object detection algorithm was developed to investigate the practicality of using advanced filtering on stereo vision object detection algorithms such as the X-H Map. Obstacle detection with stereo vision is inherently noisy and non linear. This paper describes the X-H Map algorithm and details a method of improving the accuracy with the Unscented Kalman Filter (UKF). The significance of this work is that it details a method of stereo vision object detection and concludes that the UKF is a relevant method of filtering that improves the robustness of obstacle detection given noisy inputs. This method of integrating the UKF for use in stereo vision is suitable for any standard stereo vision algorithm that is based on pixel matching (stereo correspondence) from disparity maps.

关键词： Autonomous navigation Unscented Kalman Filter stereo vision XH-map algorithm Disparity Map

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Engineering Robust intelligent robots

Engineering Robust Intelligent Robots

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27th conference on intelligent robots and computer vision: algorithms and techniques

作者： Hall, E. L. Ali, S. M. Alhaj Ghaffari, M. Liao, X. Cao, M. Univ Cincinnati Ctr Robot Res Cincinnati OH 45221 USA Hashemite Univ Jordanstown North Ireland

ISBN: (纸本)9780819479327

The purpose of this paper is to discuss the challenge of engineering robust intelligent robots. Robust intelligent robots may be considered as ones that not only work in one environment but rather in all types of situations and conditions. Our past work has described sensors for intelligent robots that permit adaptation to changes in the environment. We have also described the combination of these sensors with a "creative controller" that permits adaptive critic, neural network learning, and a dynamic database that permits task selection and criteria adjustment. However, the emphasis of this paper is on engineering solutions which are designed for robust operations and worst case situations such as day night cameras or rain and snow solutions. This ideal model may be compared to various approaches that have been implemented on "production vehicles and equipment" using Ethernet, CAN Bus and JAUS architectures and to modern, embedded, mobile computing architectures. Many prototype intelligent robots have been developed and demonstrated in terms of scientific feasibility but few have reached the stage of a robust engineering solution. Continual innovation and improvement are still required. The significance of this comparison is that it provides some insights that may be useful in designing future robots for various manufacturing, medical, and defense applications where robust and reliable performance is essential.

关键词： intelligent robots robust engineering eclecticism creative control reinforcement learning adaptive critic

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Robust obstacles detection and tracking using disparity for car driving assistance

Robust obstacles detection and tracking using disparity for ...

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27th conference on intelligent robots and computer vision: algorithms and techniques

作者： Gouiffes, M. Patri, A. Vasiliu, M. Univ Paris 11 Inst Elect Fondamentale UMR 8622 F-91405 Orsay France

ISBN: (纸本)9780819479327

This paper proposes a contribution for obstacles detection and tracking in the context of car-driving assistance. On the basis of the uv-disparity(9) designed for in-vehicle stereovision, we propose a robust procedure to detect the objects located on the road plane. This detection is used as an initialization stage for a real-time template matching procedure based on the minimizing of a weighted cost function. An appropriate update of the weights, based upon the quality of the previous matching and depth information, allows to track efficiently non-rigid objects in front of a clutter background. Sequences involving pedestrians are used to demonstrate the efficiency of our procedure.

关键词： uv-disparity obstacle detection intelligent vehicle robust temporal tracking

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The Design and Results of an Algorithm for intelligent Ground Vehicles

The Design and Results of an Algorithm for Intelligent Groun...

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27th conference on intelligent robots and computer vision: algorithms and techniques

作者： Duncan, Matthew Milam, Justin Tote, Caleb Riggins, Robert N. Bluefield State Coll Bluefield WV USA

ISBN: (纸本)9780819479327

This paper addresses the design, design method, test platform, and test results of an algorithm used in autonomous navigation for intelligent vehicles. The Bluefield State College (BSC) team created this algorithm for its 2009 intelligent Ground Vehicle Competition (IGVC) robot called Anassa V. The BSC robotics team is comprised of undergraduate computer science, engineering technology, marketing students, and one robotics faculty advisor. The team has participated in IGVC since the year 2000. A major part of the design process that the BSC team uses each year for IGVC is a fully documented "Post-IGVC Analysis." Over the nine years since 2000, the lessons the students learned from these analyses have resulted in an ever-improving, highly successful autonomous algorithm. The algorithm employed in Anassa V is a culmination of past successes and new ideas, resulting in Anassa V earning several excellent IGVC 2009 performance awards, including third place overall. The paper will discuss all aspects of the design of this autonomous robotic system, beginning with the design process and ending with test results for both simulation and real environments.

关键词： Robot intelligent Ground Vehicle Sensor Integration vision System Mapping IGVC Path Planning

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Improved single-camera stereo system for mobile robotics

Improved single-camera stereo system for mobile robotics

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27th conference on intelligent robots and computer vision: algorithms and techniques

作者： Lovegrove, William P. McGary, Patrick D. Austin, Kelly Bob Jones Univ Greenville SC 29614 USA

ISBN: (纸本)9780819479327

A single-camera stereo vision system offers a greatly simplified approach to image capture and analysis. In the original study by Lovegrove and Brame, they proposed a novel optical system that uses a single camera to capture two short, wide stereo images that can then be analyzed for real-time obstacle detection. In this paper, further analysis and refinement of the optical design results in two virtual cameras with perfectly parallel central axes. A new prototype camera design provides experimental verification of the analysis and also provides insight into practical construction. The experimental device showed that the virtual cameras' axes possessed a deviation from parallel of less than 12 minutes (or 0.2 degrees). The calculation of distances to objects from the two overlapping images all showed errors smaller than the pixel resolution limitation. In addition, a barrel lens correction was used in processing the image to allow parallax distance determination in the whole horizontal view of the images.

关键词： stereo vision single camera stereo pair mobile robot obstacle detection computer vision

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