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A Visual Navigation System For Autonomous Land Vehicles
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Author :University of Maryland at College Park. Dept. of Computer Science Publisher : ISBN 13 : Total Pages :39 pages Book Rating :4.:/5 (169 download)
Book Synopsis A Visual Navigation System for Autonomous Land Vehicles by : University of Maryland at College Park. Dept. of Computer Science
Download or read book A Visual Navigation System for Autonomous Land Vehicles written by University of Maryland at College Park. Dept. of Computer Science and published by . This book was released on 1985 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Computer Vision Laboratory at the University of Maryland has developed a modular system architecture to support visual navigation by an autonomous land vehicle. The system consists of vision modules performing image processing, 3-D shape recovery, and rule-based reasoning, as well as modules for planning, navigating, and piloting. Keywords include: Computer vision, Image processing, Autonomous navigation, Road following, and Rule-based reasoning.
Book Synopsis Visual Navigation by : Yiannis Aloimonos
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 541 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.
Book Synopsis Inertial and Visual Navigation Systems for Autonomous Vehicles by : Dipam Chakraborty
Download or read book Inertial and Visual Navigation Systems for Autonomous Vehicles written by Dipam Chakraborty and published by . This book was released on 2018-12-09 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master's Thesis from the year 2018 in the subject Engineering - Robotics, National Institute of Technology, Rourkela, language: English, abstract: Indoor navigation is a challenging task due to the absence of Global Positioning System(GPS). This project removes the need for GPS in systems by combining Inertial Navigation Systems (INS) and Visual Navigation Systems (VNS), with the help of machine learning with Artificial and Convolutional Neural Networks.In GPS denied environments a highly accurate INS is necessary, it must also be coupled with another system to bound the continious drift error that is present in INS, for which VNS is employed. The system was implemented using a ground robot to collect ground truth data, which were used as datasets to train a filter that increases the accuracy of the INS. The accuracy of the INS has been proven on the hardware platfrom over multiple datasets. Eventually Visual Navigation data can also be fed into the same system, which for now is implemented in simulation, as an independent system. A software and hardware framework have been developed that can be used in the future for further developments. The project also optimizes visual navigation for use on low power hardware with hardware acceleration for maximized speed. A low cost and scalable indoor navigation system is developed for indoor navigation, which can also be further extended to Autonomous Underwater Vehicles (AUV) in 3D space.
Book Synopsis Visual Navigation by : Yiannis Aloimonos
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.
Book Synopsis Computer Vision in Vehicle Technology by : Antonio M. López
Download or read book Computer Vision in Vehicle Technology written by Antonio M. López and published by John Wiley & Sons. This book was released on 2017-02-17 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unified view of the use of computer vision technology for different types of vehicles Computer Vision in Vehicle Technology focuses on computer vision as on-board technology, bringing together fields of research where computer vision is progressively penetrating: the automotive sector, unmanned aerial and underwater vehicles. It also serves as a reference for researchers of current developments and challenges in areas of the application of computer vision, involving vehicles such as advanced driver assistance (pedestrian detection, lane departure warning, traffic sign recognition), autonomous driving and robot navigation (with visual simultaneous localization and mapping) or unmanned aerial vehicles (obstacle avoidance, landscape classification and mapping, fire risk assessment). The overall role of computer vision for the navigation of different vehicles, as well as technology to address on-board applications, is analysed. Key features: Presents the latest advances in the field of computer vision and vehicle technologies in a highly informative and understandable way, including the basic mathematics for each problem. Provides a comprehensive summary of the state of the art computer vision techniques in vehicles from the navigation and the addressable applications points of view. Offers a detailed description of the open challenges and business opportunities for the immediate future in the field of vision based vehicle technologies. This is essential reading for computer vision researchers, as well as engineers working in vehicle technologies, and students of computer vision.
Book Synopsis Vision-Based Navigation for Autonomous Ground Vehicles by :
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).
Book Synopsis An Overview of Vision-based Navigation for Autonomous Land Vehicles. 1986 by : Cu Cantiran̲
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.
Book Synopsis A Visual Navigation System for Atonomous Land Vehicles by : A. M. Waxman
Download or read book A Visual Navigation System for Atonomous Land Vehicles written by A. M. Waxman and published by . This book was released on 1985 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Sensing and Control for Autonomous Vehicles by : Thor I. Fossen
Download or read book Sensing and Control for Autonomous Vehicles written by Thor I. Fossen and published by Springer. This book was released on 2017-05-26 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume includes thoroughly collected on sensing and control for autonomous vehicles. Guidance, navigation and motion control systems for autonomous vehicles are increasingly important in land-based, marine and aerial operations. Autonomous underwater vehicles may be used for pipeline inspection, light intervention work, underwater survey and collection of oceanographic/biological data. Autonomous unmanned aerial systems can be used in a large number of applications such as inspection, monitoring, data collection, surveillance, etc. At present, vehicles operate with limited autonomy and a minimum of intelligence. There is a growing interest for cooperative and coordinated multi-vehicle systems, real-time re-planning, robust autonomous navigation systems and robust autonomous control of vehicles. Unmanned vehicles with high levels of autonomy may be used for safe and efficient collection of environmental data, for assimilation of climate and environmental models and to complement global satellite systems. The target audience primarily comprises research experts in the field of control theory, but the book may also be beneficial for graduate students.
Book Synopsis Domain-dependent Reasoning for Visual Navigation of Roadways by : J. Le Moigne
Download or read book Domain-dependent Reasoning for Visual Navigation of Roadways written by J. Le Moigne and published by . This book was released on 1986 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Visual Navigation System for Autonomous Land Vehicles includes several modules, among them a 'Knowledge-based Reasoning Module' that is described in this report. This module utilizes domain-dependent knowledge (in this case, 'road knowledge') in order to analyze and label the visual features extracted from the imagery by the Image Processing Module. Knowledge and general hypotheses are given in Section 2. The Reasoning Module itself is described in Section 3 and results are presented in Section 4. Finally, some conclusions and proposed in Section 5.
Book Synopsis Vision and Navigation by : Charles E. Thorpe
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.
Book Synopsis Modelling and Simulation for Autonomous Systems by : Jan Mazal
Download or read book Modelling and Simulation for Autonomous Systems written by Jan Mazal and published by Springer. This book was released on 2019-03-15 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Modelling and Simulation for Autonomous Systems, MESAS 2018, held in Prague, Czech Republic, in October 2018. The 46 revised full papers included in the volume were carefully reviewed and selected from 66 submissions. They are organized in the following topical sections: Future Challenges of Advanced M&S Technology; Swarming - R&D and Application; M&S of Intelligent Systems - AI, R&D and Application; AxS in Context of Future Warfare and Security Environment (Concepts, Applications, Training, Interoperability, etc.).
Book Synopsis Visual Position Determination for Autonomous Vehicle Navigation by : F. P. Andresen
Download or read book Visual Position Determination for Autonomous Vehicle Navigation written by F. P. Andresen and published by . This book was released on 1984 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report describes a system by which an autonomous land vehicle might improve its estimate of its current position. This system selects visible landmarks from a database of knowledge about its environment and controls a camera's direction and focal length to obtain images of these landmarks. The landmarks are then located in the images using a modified version of the generalized Hough transform and their locations are used to triangulate to obtain the new estimate of vehicle position and position uncertainty.
Book Synopsis Low Cost, High Integrity, Aided Inertial Navigation Systems for Autonomous Land Vehicles by : Salah Sukkarieh
Download or read book Low Cost, High Integrity, Aided Inertial Navigation Systems for Autonomous Land Vehicles written by Salah Sukkarieh and published by . This book was released on 2000 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :University of Maryland at College Park. Department of Computer Science Publisher : ISBN 13 : Total Pages :21 pages Book Rating :4.:/5 (123 download)
Book Synopsis Image Processing for Visual Navigation of Roadways by : University of Maryland at College Park. Department of Computer Science
Download or read book Image Processing for Visual Navigation of Roadways written by University of Maryland at College Park. Department of Computer Science and published by . This book was released on 1985 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt: In support of the Autonomous Land Vehicle (ALV) project, which is a part of the Strategic Computing Program development by DARPA, the Computer Vision Laboratory of the University of Maryland has designed a visual navigation system which will enable the ALV to perform road following tasks. Road following is an example of intermediate range navigation. The task is to compute a path in an intermediate range environment through a region of uniform visibility/navigability established first by long range navigation. Road following consists primarily of three Vision Modules which embody image processing tools, geometrical and model-based constraints, and rule-based reasoning capabilities; it is the responsibility of these modules to establish a representation of the three-dimensional structure of the road scene. This system also includes a Planner, a Navigator and a Pilot. The Planner establishes goals and operating constraints for the Navigator, which is responsible for generalized path planning. The Pilot interprets this path into basic commands understandable by the ALV's motor controllers. The Vision Executive is the module responsible for the overall vision process control. It is also the Vision Modules and Executive which establish a labeling of the scene, consistent with: the representations derived from the image domain (2-D symbolics), the geometricial interpretations, the knowledge base.
Book Synopsis Vision-based Vehicle Guidance by : Ichiro Masaki
Download or read book Vision-based Vehicle Guidance written by Ichiro Masaki and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a growing social interest in developing vision-based vehicle guidance systems for improving traffic safety and efficiency and the environment. Ex amples of vision-based vehicle guidance systems include collision warning systems, steering control systems for tracking painted lane marks, and speed control systems for preventing rear-end collisions. Like other guidance systems for aircraft and trains, these systems are ex pected to increase traffic safety significantly. For example, safety improve ments of aircraft landing processes after the introduction of automatic guidance systems have been reported to be 100 times better than prior to installment. Although the safety of human lives is beyond price, the cost for automatic guidance could be compensated by decreased insurance costs. It is becoming more important to increase traffic safety by decreasing the human driver's load in our society, especially with an increasing population of senior people who continue to drive. The second potential social benefit is the improvement of traffic efficiency by decreasing the spacing between vehicles without sacrificing safety. It is reported, for example, that four times the efficiency is expected if the spacing between cars is controlled automatically at 90 cm with a speed of 100 kmjh compared to today's typical manual driving. Although there are a lot of tech nical, psychological, and social issues to be solved before realizing the high density jhigh-speed traffic systems described here, highly efficient highways are becoming more important because of increasing traffic congestion.
Author :United States. Defense Advanced Research Projects Agency. Information Science and Technology Office Publisher : ISBN 13 : Total Pages :440 pages Book Rating :4.3/5 (91 download)
Book Synopsis Image Understanding Workshop by : United States. Defense Advanced Research Projects Agency. Information Science and Technology Office
Download or read book Image Understanding Workshop written by United States. Defense Advanced Research Projects Agency. Information Science and Technology Office and published by . This book was released on 1987 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt:
