Computational Strategies for Vision-based Navigation

Computational Strategies for Vision-based Navigation PDF Author: Paolo Cavalleri
Publisher:
ISBN:
Category :
Languages : en
Pages : 105

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Book Description

Computational Strategies for Vision-based Navigation

Computational Strategies for Vision-based Navigation PDF Author: Paolo Cavalleri
Publisher:
ISBN:
Category :
Languages : en
Pages : 105

Get Book Here

Book Description


Unifying Perspectives in Computational and Robot Vision

Unifying Perspectives in Computational and Robot Vision PDF Author: Danica Kragic
Publisher: Springer Science & Business Media
ISBN: 0387755233
Category : Computers
Languages : en
Pages : 215

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Book Description
Assembled in this volume is a collection of some of the state-of-the-art methods that are using computer vision and machine learning techniques as applied in robotic applications. Currently there is a gap between research conducted in the computer vision and robotics communities. This volume discusses contrasting viewpoints of computer vision vs. robotics, and provides current and future challenges discussed from a research perspective.

Computer Vision Based Navigation for Spacecraft Proximity Operations

Computer Vision Based Navigation for Spacecraft Proximity Operations PDF Author: Brent Edward Tweddle
Publisher:
ISBN:
Category :
Languages : en
Pages : 226

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Book Description
The use of computer vision for spacecraft relative navigation and proximity operations within an unknown environment is an enabling technology for a number of future commercial and scientific space missions. This thesis presents three first steps towards a larger research initiative to develop and mature these technologies. The first step that is presented is the design and development of a " flight-traceable" upgrade to the Synchronize Position Hold Engage Reorient Experimental Satellites, known as the SPHERES Goggles. This upgrade enables experimental research and maturation of computer vision based navigation technologies on the SPHERES satellites. The second step that is presented is the development of an algorithm for vision based relative spacecraft navigation that uses a fiducial marker with the minimum number of known point correspondences. An experimental evaluation of this algorithm is presented that determines an upper bound on the accuracy and precision of this system. The third step towards vision based relative navigation in an unknown environment is a preliminary investigation into the computational issues associated with high performance embedded computing. The computational characteristics of vision based relative navigation algorithms are discussed along with the requirements that they impose on computational hardware. A trade study is performed which compares a number of dierent commercially available hardware architectures to determine which would provide the best computational performance per unit of electrical power.

Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications

Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications PDF Author: Alonso, Eduardo
Publisher: IGI Global
ISBN: 1609600231
Category : Computers
Languages : en
Pages : 396

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Book Description
"This book argues that computational models in behavioral neuroscience must be taken with caution, and advocates for the study of mathematical models of existing theories as complementary to neuro-psychological models and computational models"--

Robot Vision

Robot Vision PDF Author: Ales Ude
Publisher: BoD – Books on Demand
ISBN: 9533070773
Category : Computers
Languages : en
Pages : 628

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Book Description
The purpose of robot vision is to enable robots to perceive the external world in order to perform a large range of tasks such as navigation, visual servoing for object tracking and manipulation, object recognition and categorization, surveillance, and higher-level decision-making. Among different perceptual modalities, vision is arguably the most important one. It is therefore an essential building block of a cognitive robot. This book presents a snapshot of the wide variety of work in robot vision that is currently going on in different parts of the world.

Vision-Based Robot Navigation

Vision-Based Robot Navigation PDF Author: Mateus Mendes
Publisher: Universal-Publishers
ISBN: 1612331041
Category : Technology & Engineering
Languages : en
Pages : 240

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Book Description
Starting with a summary of the history of Artificial Intelligence, this book makes the bridge to the modern debate on the definition of Intelligence and the path to building Intelligent Machines. Since the definition of Intelligence is itself subject to open debate, the quest for Intelligent machines is pursuing a moving target. Apparently, intelligent behaviour is, to a great extent, the result of using a sophisticated associative memory, more than the result of heavy processing. The book describes theories on how the brain works, associative memory models and how a particular model - the Sparse Distributed Memory (SDM) - can be used to navigate a robot based on visual memories. Other robot navigation methods are also comprehensively revised and compared to the method proposed. The performance of the SDM-based robot has been tested in different typical problems, such as illumination changes, occlusions and image noise, taking the SDM to the limits. The results are extensively discussed in the book.

Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms

Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms PDF Author: Sandeep Kumar
Publisher: John Wiley & Sons
ISBN: 1119792088
Category : Computers
Languages : en
Pages : 400

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Book Description
COGNITIVE BEHAVIOR AND HUMAN COMPUTER INTERACTION BASED ON MACHINE LEARNING ALGORITHMS The objective of this book is to provide the most relevant information on Human-Computer Interaction to academics, researchers, and students and for those from industry who wish to know more about the real-time application of user interface design. Human-computer interaction (HCI) is the academic discipline, which most of us think of as UI design, that focuses on how human beings and computers interact at ever-increasing levels of both complexity and simplicity. Because of the importance of the subject, this book aims to provide more relevant information that will be useful to students, academics, and researchers in the industry who wish to know more about its real-time application. In addition to providing content on theory, cognition, design, evaluation, and user diversity, this book also explains the underlying causes of the cognitive, social and organizational problems typically devoted to descriptions of rehabilitation methods for specific cognitive processes. Also described are the new modeling algorithms accessible to cognitive scientists from a variety of different areas. This book is inherently interdisciplinary and contains original research in computing, engineering, artificial intelligence, psychology, linguistics, and social and system organization as applied to the design, implementation, application, analysis, and evaluation of interactive systems. Since machine learning research has already been carried out for a decade in various applications, the new learning approach is mainly used in machine learning-based cognitive applications. Since this will direct the future research of scientists and researchers working in neuroscience, neuroimaging, machine learning-based brain mapping, and modeling, etc., this book highlights the framework of a novel robust method for advanced cross-industry HCI technologies. These implementation strategies and future research directions will meet the design and application requirements of several modern and real-time applications for a long time to come. Audience: A wide range of researchers, industry practitioners, and students will be interested in this book including those in artificial intelligence, machine learning, cognition, computer programming and engineering, as well as social sciences such as psychology and linguistics.

Advances in Computational Intelligence

Advances in Computational Intelligence PDF Author: Lourdes Martínez-Villaseñor
Publisher: Springer Nature
ISBN: 3030608875
Category : Computers
Languages : en
Pages : 504

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Book Description
The two-volume set LNAI 12468 and 12469 constitutes the proceedings of the 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, held in Mexico City, Mexico, in October 2020. The total of 77 papers presented in these two volumes was carefully reviewed and selected from 186 submissions. The contributions are organized in topical as follows: Part I: machine and deep learning, evolutionary and metaheuristic algorithms, and soft computing. Part II: natural language processing, image processing and pattern recognition, and intelligent applications and robotics.

Vision-based Navigation and Parallel Computing

Vision-based Navigation and Parallel Computing PDF Author: Larry S. Davis
Publisher:
ISBN:
Category : Computer vision
Languages : en
Pages : 54

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Book Description
This report describes research performed during the period May 1988-May 1989 under DARPA support. The report contains discussion of four main topics: 1) On-going research on visual navigation, focusing on a system named RAMBO, for the study of robots acting on moving bodies; 2) Development and implementation of parallel algorithms for image processing and computer vision on the Connection Machine and the Butterfly; 3)Development of parallel heuristic search algorithms on the Butterfly that have linear speedup properties over a wide range of problem sizes and machine sizes; and 4) Development of Connection Machine algorithms for matrix operations that are key computational steps in many image processing and computer vision algorithms. This research has resulted in twelve technical reports, and several publications in conferences and workshops. Keywords: Autonomous navigation; Computer vision; Parallel processing; Search. (kr).

Visual Navigation

Visual Navigation PDF Author: John Aloimonos
Publisher: Psychology Press
ISBN: 9780805820508
Category : Psychology
Languages : en
Pages : 421

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Book Description
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.