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Author : Larry S. Davis
Publisher :
ISBN 13 :
Total Pages : 83 pages
Book Rating : 4.:/5 (173 download)
Download or read book Vision-based Navigation for Autonomous Ground Vehicles. Final Report written by Larry S. Davis and published by . This book was released on 1992 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 24 pages
Book Rating : 4.:/5 (227 download)
Download or read book Vision-Based Navigation for Autonomous Ground Vehicles written by and published by . This book was released on 1988 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contents: Facility; The Maryland Visual Navigation System; System Architecture; System Modules; Image Processing; Visual Knowledge Base; Geometry; Vision Executive; 3-D Representation; Predictor; Sensor Control; Navigator; Pilot; Planner; Technical Reports. (FR).
Author :
Publisher :
ISBN 13 :
Total Pages : 6 pages
Book Rating : 4.:/5 (254 download)
Download or read book Special Issue on Industrial Applications of Pulsed Power and Plasma Technologies written by and published by . This book was released on 2007 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Larry S. Davis
Publisher :
ISBN 13 :
Total Pages : 36 pages
Book Rating : 4.:/5 (399 download)
Download or read book Vision-based Navigation for Autonomous Ground Vehicles written by Larry S. Davis and published by . This book was released on 1989 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Larry S. Davis
Publisher :
ISBN 13 :
Total Pages : 24 pages
Book Rating : 4.:/5 (35 download)
Download or read book Vision-Based Navigation for Autonomous Ground Vehicles written by Larry S. Davis and published by . This book was released on 1988 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contents: Facility; The Maryland Visual Navigation System; System Architecture; System Modules; Image Processing; Visual Knowledge Base; Geometry; Vision Executive; 3-D Representation; Predictor; Sensor Control; Navigator; Pilot; Planner; Technical Reports. (FR).
Author : Larry S. Davis
Publisher :
ISBN 13 :
Total Pages : 10 pages
Book Rating : 4.:/5 (173 download)
Download or read book Vision-based Navigation for Autonomous Ground Vehicles - 1986 Annual Report written by Larry S. Davis and published by . This book was released on 1986 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ahmed Saber Soliman Sayem
Publisher :
ISBN 13 :
Total Pages : 164 pages
Book Rating : 4.:/5 (959 download)
Download or read book Vision-aided Navigation for Autonomous Vehicles Using Tracked Feature Points written by Ahmed Saber Soliman Sayem and published by . This book was released on 2016 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis discusses the evaluation, implementation, and testing of several navigation algorithms and feature extraction algorithms using an inertial measurement unit (IMU) and an image capture device (camera) mounted on a ground robot and a quadrotor UAV. The vision-aided navigation algorithms are implemented on data-collected from sensors on an unmanned ground vehicle and a quadrotor, and the results are validated by comparison with GPS data. The thesis investigates sensor fusion techniques for integrating measured IMU data with information extracted from image processing algorithms in order to provide accurate vehicle state estimation. This image-based information takes the forms of features, such as corners, that are tracked over multiple image frames. An extended Kalman filter (EKF) in implemented to fuse vision and IMU data. The main goal of the work is to provide navigation of mobile robots in GPS-denied environments such as indoor environments, cluttered urban environments, or space environments such as asteroids, other planets or the moon. The experimental results show that combining pose information extracted from IMU readings along with pose information extracted from a vision-based algorithm managed to solve the drift problem that comes from using IMU alone and the scale problem that comes from using a monocular vision-based algorithm alone.
Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 141 pages
Book Rating : 4.:/5 (661 download)
Download or read book Learning Applied to Ground Vehicles written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-05-05 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is Learning Applied to Ground Vehicles The Learning Applied to Ground Vehicles (LAGR) initiative, which was in operation from 2004 until 2008, was designed with the intention of expediting the development of autonomous, perception-based, off-road navigation in robotic unmanned ground vehicles (UGVs). DARPA, which is a research agency under the Department of Defense of the United States of America, provided funding for LAGR. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: DARPA LAGR Program Chapter 2: DARPA Chapter 3: Autonomous robot Chapter 4: Military robot Chapter 5: DARPA Grand Challenge Chapter 6: Unmanned ground vehicle Chapter 7: European Land-Robot Trial Chapter 8: Mobile robot Chapter 9: Crusher (robot) Chapter 10: National Robotics Engineering Center (II) Answering the public top questions about learning applied to ground vehicles. (III) Real world examples for the usage of learning applied to ground vehicles in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Learning Applied to Ground Vehicles.
Author : Cu Cantiran̲
Publisher :
ISBN 13 :
Total Pages : 115 pages
Book Rating : 4.:/5 (173 download)
Download or read book An Overview of Vision-based Navigation for Autonomous Land Vehicles. 1986 written by Cu Cantiran̲ and published by . This book was released on 1987 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report describes research performed during the first two years on the project Vision-Based Navigation for Autonomous Vehicles being conducted under DARPA support. The report contains discussion of four main topics: (1) Development of a vision system for autonomous navigation of roads and road network. (2) Support of Martin Marietta Aerospace, Denver, the integrating contractor on DARPA's ALV program. (3) Experimentation with the vision system developed at Maryland on the Martin Marietta ALV, and (4) Development and implementation of parallel algorithms for visual navigation on the parallel computers developed under the DARPA Strategic Computing Program--specifically, the WARP systolic array processor, the Butterfly, and the Connection Machine. Keywords: Vision-based navigation, and Parallel algorithms.
Author : Amitava Chatterjee
Publisher : Springer
ISBN 13 : 3642339654
Total Pages : 235 pages
Book Rating : 4.6/5 (423 download)
Download or read book Vision Based Autonomous Robot Navigation written by Amitava Chatterjee and published by Springer. This book was released on 2012-10-13 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph is devoted to the theory and development of autonomous navigation of mobile robots using computer vision based sensing mechanism. The conventional robot navigation systems, utilizing traditional sensors like ultrasonic, IR, GPS, laser sensors etc., suffer several drawbacks related to either the physical limitations of the sensor or incur high cost. Vision sensing has emerged as a popular alternative where cameras can be used to reduce the overall cost, maintaining high degree of intelligence, flexibility and robustness. This book includes a detailed description of several new approaches for real life vision based autonomous navigation algorithms and SLAM. It presents the concept of how subgoal based goal-driven navigation can be carried out using vision sensing. The development concept of vision based robots for path/line tracking using fuzzy logic is presented, as well as how a low-cost robot can be indigenously developed in the laboratory with microcontroller based sensor systems. The book describes successful implementation of integration of low-cost, external peripherals, with off-the-shelf procured robots. An important highlight of the book is that it presents a detailed, step-by-step sample demonstration of how vision-based navigation modules can be actually implemented in real life, under 32-bit Windows environment. The book also discusses the concept of implementing vision based SLAM employing a two camera based system.
Author :
Publisher :
ISBN 13 :
Total Pages : 75 pages
Book Rating : 4.:/5 (399 download)
Download or read book An Overview of Vision-based Navigation for Autonomous Land Vehicles 1986 written by and published by . This book was released on 1987 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Yiannis Aloimonos
Publisher : Psychology Press
ISBN 13 : 1134796463
Total Pages : 430 pages
Book Rating : 4.1/5 (347 download)
Download or read book Visual Navigation written by Yiannis Aloimonos and published by Psychology Press. This book was released on 2013-05-13 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: All biological systems with vision move about their environments and successfully perform many tasks. The same capabilities are needed in the world of robots. To that end, recent results in empirical fields that study insects and primates, as well as in theoretical and applied disciplines that design robots, have uncovered a number of the principles of navigation. To offer a unifying approach to the situation, this book brings together ideas from zoology, psychology, neurobiology, mathematics, geometry, computer science, and engineering. It contains theoretical developments that will be essential in future research on the topic -- especially new representations of space with less complexity than Euclidean representations possess. These representations allow biological and artificial systems to compute from images in order to successfully deal with their environments. In this book, the barriers between different disciplines have been smoothed and the workings of vision systems of biological organisms are made clear in computational terms to computer scientists and engineers. At the same time, fundamental principles arising from computational considerations are made clear both to empirical scientists and engineers. Empiricists can generate a number of hypotheses that they could then study through various experiments. Engineers can gain insight for designing robotic systems that perceive aspects of their environment. For the first time, readers will find: * the insect vision system presented in a way that can be understood by computational scientists working in computer vision and engineering; * three complete, working robotic navigation systems presented with all the issues related to their design analyzed in detail; * the beginning of a computational theory of direct perception, as advocated by Gibson, presented in detail with applications for a variety of problems; and * the idea that vision systems could compute space representations different from perfect metric descriptions -- and be used in robotic tasks -- advanced for both artificial and biological systems.
Author : Bhabesh Deka
Publisher : Springer Nature
ISBN 13 : 3030348695
Total Pages : 678 pages
Book Rating : 4.0/5 (33 download)
Download or read book Pattern Recognition and Machine Intelligence written by Bhabesh Deka and published by Springer Nature. This book was released on 2019-11-25 with total page 678 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set of LNCS 11941 and 11942 constitutes the refereed proceedings of the 8th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2019, held in Tezpur, India, in December 2019. The 131 revised full papers presented were carefully reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine Learning; Deep Learning; Soft and Evolutionary Computing; Image Processing; Medical Image Processing; Bioinformatics and Biomedical Signal Processing; Information Retrieval; Remote Sensing; Signal and Video Processing; and Smart and Intelligent Sensors.
Author : Zhihui Xiong
Publisher : BoD – Books on Demand
ISBN 13 : 9537619214
Total Pages : 550 pages
Book Rating : 4.5/5 (376 download)
Download or read book Computer Vision written by Zhihui Xiong and published by BoD – Books on Demand. This book was released on 2008-11-01 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents research trends on computer vision, especially on application of robotics, and on advanced approachs for computer vision (such as omnidirectional vision). Among them, research on RFID technology integrating stereo vision to localize an indoor mobile robot is included in this book. Besides, this book includes many research on omnidirectional vision, and the combination of omnidirectional vision with robotics. This book features representative work on the computer vision, and it puts more focus on robotics vision and omnidirectioal vision. The intended audience is anyone who wishes to become familiar with the latest research work on computer vision, especially its applications on robots. The contents of this book allow the reader to know more technical aspects and applications of computer vision. Researchers and instructors will benefit from this book.
Author : Paul A. Ghyzel
Publisher :
ISBN 13 : 9781423533214
Total Pages : 128 pages
Book Rating : 4.5/5 (332 download)
Download or read book Vision-Based Navigation for Autonomous Landing of Unmanned Aerial Vehicles written by Paul A. Ghyzel and published by . This book was released on 2000-09-01 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: The role of Unmanned Aerial Vehicles (UAV) for modern military operations is expected to expand in the 21st Century, including increased deployment of UAVs from Navy ships at sea. Autonomous operation of UAVs from ships at sea requires the UAV to land on a moving ship using only passive sensors installed in the UAV. This thesis investigates the feasibility of using passive vision sensors installed in the UAV to estimate the UAV position relative to the moving platform. A navigation algorithm based on photogrammetry and perspective estimation is presented for numerically determining the relative position and orientation of an aircraft with respect to a ship that possesses three visibly significant points with known separation distances. Original image processing algorithms that reliably locate visually significant features in monochrome images are developed. Monochrome video imagery collected during flight test with an infrared video camera mounted in the nose of a UAV during actual landing approaches is presented. The navigation and image processing algorithms are combined to reduce the flight test images into vehicle position estimates. These position estimates are compared to truth data to demonstrate the feasibility of passive, vision-based sensors for aircraft navigation. Conclusions are drawn, and recommendations for further study are presented.
Author : Charles E. Thorpe
Publisher : Springer Science & Business Media
ISBN 13 : 1461315336
Total Pages : 375 pages
Book Rating : 4.4/5 (613 download)
Download or read book Vision and Navigation written by Charles E. Thorpe and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mobile robots are playing an increasingly important role in our world. Remotely operated vehicles are in everyday use for hazardous tasks such as charting and cleaning up hazardous waste spills, construction work of tunnels and high rise buildings, and underwater inspection of oil drilling platforms in the ocean. A whole host of further applications, however, beckons robots capable of autonomous operation without or with very little intervention of human operators. Such robots of the future will explore distant planets, map the ocean floor, study the flow of pollutants and carbon dioxide through our atmosphere and oceans, work in underground mines, and perform other jobs we cannot even imagine; perhaps even drive our cars and walk our dogs. The biggest technical obstacles to building mobile robots are vision and navigation-enabling a robot to see the world around it, to plan and follow a safe path through its environment, and to execute its tasks. At the Carnegie Mellon Robotics Institute, we are studying those problems both in isolation and by building complete systems. Since 1980, we have developed a series of small indoor mobile robots, some experimental, and others for practical applicationr Our outdoor autonomous mobile robot research started in 1984, navigating through the campus sidewalk network using a small outdoor vehicle called the Terregator. In 1985, with the advent of DARPA's Autonomous Land Vehicle Project, we constructed a computer controlled van with onboard sensors and researchers. In the fall of 1987, we began the development of a six-legged Planetary Rover.
Author : Hyun Nam Lee
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (69 download)
Download or read book Vision-based Navigation for Mobile Robots on Ill-structured Roads written by Hyun Nam Lee and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Autonomous robots can replace humans to explore hostile areas, such as Mars and other inhospitable regions. A fundamental task for the autonomous robot is navigation. Due to the inherent difficulties in understanding natural objects and changing environments, navigation for unstructured environments, such as natural environments, has largely unsolved problems. However, navigation for ill-structured environments [1], where roads do not disappear completely, increases the understanding of these difficulties. We develop algorithms for robot navigation on ill-structured roads with monocular vision based on two elements: the appearance information and the geometric information. The fundamental problem of the appearance information-based navigation is road presentation. We propose a new type of road description, a vision vector space (V2-Space), which is a set of local collision-free directions in image space. We report how the V2-Space is constructed and how the V2-Space can be used to incorporate vehicle kinematic, dynamic, and time-delay constraints in motion planning. Failures occur due to the limitations of the appearance information-based navigation, such as a lack of geometric information. We expand the research to include consideration of geometric information. We present the vision-based navigation system using the geometric information. To compute depth with monocular vision, we use images obtained from different camera perspectives during robot navigation. For any given image pair, the depth error in regions close to the camera baseline can be excessively large. This degenerated region is named untrusted area, which could lead to collisions. We analyze how the untrusted areas are distributed on the road plane and predict them accordingly before the robot makes its move. We propose an algorithm to assist the robot in avoiding the untrusted area by selecting optimal locations to take frames while navigating. Experiments show that the algorithm can significantly reduce the depth error and hence reduce the risk of collisions. Although this approach is developed for monocular vision, it can be applied to multiple cameras to control the depth error. The concept of an untrusted area can be applied to 3D reconstruction with a two-view approach.
