The Memory-based Paradigm for Vision-based Robot Localization PDF Download
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Author: Matthias Jüngel
Publisher:
ISBN:
Category :
Languages : en
Pages : 131
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Book Description
Author: Matthias Jüngel
Publisher:
ISBN:
Category :
Languages : en
Pages : 131
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Book Description
Author: Sami Atiya
Publisher:
ISBN:
Category :
Languages : en
Pages : 19
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Book Description
Author: Xiaochun Wang
Publisher: Springer
ISBN: 981139217X
Category : Technology & Engineering
Languages : en
Pages : 328
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Book Description
This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine learning research for localization applications, and cover such topics as: image-segmentation-based visual perceptual grouping for the efficient identification of objects composing unknown environments; classification-based rapid object recognition for the semantic analysis of natural scenes in unknown environments; the present understanding of the Prefrontal Cortex working memory mechanism and its biological processes for human-like localization; and the application of this present understanding to improve mobile robot localization. The book also features a perspective on bridging the gap between feature representations and decision-making using reinforcement learning, laying the groundwork for future advances in mobile robot navigation research.
Author: Melissa Hershey
Publisher:
ISBN:
Category :
Languages : en
Pages : 130
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Book Description
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.
Author: Simon Thompson
Publisher:
ISBN:
Category : Mobile robots
Languages : en
Pages : 371
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Book Description
Author: Hashem Tamimi
Publisher:
ISBN: 9783899633634
Category :
Languages : de
Pages : 142
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
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.
Author: Yu Sun
Publisher: Springer
ISBN: 9783662522738
Category : Technology & Engineering
Languages : en
Pages : 0
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Book Description
The field of robotic vision has advanced dramatically recently with the development of new range sensors. Tremendous progress has been made resulting in significant impact on areas such as robotic navigation, scene/environment understanding, and visual learning. This edited book provides a solid and diversified reference source for some of the most recent important advancements in the field of robotic vision. The book starts with articles that describe new techniques to understand scenes from 2D/3D data such as estimation of planar structures, recognition of multiple objects in the scene using different kinds of features as well as their spatial and semantic relationships, generation of 3D object models, approach to recognize partially occluded objects, etc. Novel techniques are introduced to improve 3D perception accuracy with other sensors such as a gyroscope, positioning accuracy with a visual servoing based alignment strategy for microassembly, and increasing object recognition reliability using related manipulation motion models. For autonomous robot navigation, different vision-based localization and tracking strategies and algorithms are discussed. New approaches using probabilistic analysis for robot navigation, online learning of vision-based robot control, and 3D motion estimation via intensity differences from a monocular camera are described. This collection will be beneficial to graduate students, researchers, and professionals working in the area of robotic vision.
