Multi-View Geometry Based Visual Perception and Control of Robotic Systems
1st Edition
Published on 1. August 2018
Book
Hardback
360 pages
978-0-8153-6598-3 (ISBN)
Description
This book describes visual perception and control methods for robotic systems that need to interact with the environment. Multiple view geometry is utilized to extract low-dimensional geometric information from abundant and high-dimensional image information, making it convenient to develop general solutions for robot perception and control tasks. In this book, multiple view geometry is used for geometric modeling and scaled pose estimation. Then Lyapunov methods are applied to design stabilizing control laws in the presence of model uncertainties and multiple constraints.
More details
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
College/higher education
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 239 mm
Width: 160 mm
Thickness: 23 mm
Weight
748 gr
ISBN-13
978-0-8153-6598-3 (9780815365983)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Jian Chen | Bingxi Jia | Kaixiang Zhang
Multi-View Geometry Based Visual Perception and Control of Robotic Systems
Book
06/2020
1st Edition
CRC Press
€97.00
Shipment within 15-20 days
Jian Chen | Bingxi Jia | Kaixiang Zhang
Multi-View Geometry Based Visual Perception and Control of Robotic Systems
E-Book
06/2018
1st Edition
CRC Press
€63.49
Available for download
Persons
Jian Chen in 2013 joined the Department of Control Science and Engineering, Zhejiang University, where he is currently a Professor with the College of Control Science and Engineering. He has been supported by the Chinese Recruitment Program of Global Youth Experts since 2013, and the Key Program of National Natural Science Foundation of China on Modeling and Control of Fuel Cell vehicles since 2015.
Content
1. Foundations: Robotics. 2. Multiple View Geometry. 3. Visual Perception of Robotics: Introduction to Visual Perception. 4. Two-view Geometry-based Road Scene Reconstruction. 5. Recursive Road Detection with Shadows. 6. Range Identification of Moving Objects Using a Single Camera. 7. Velocity and Range Identification of Moving Objects Using a Static-moving Camera System. 8. Visual Control of Robotics: Introduction to Visual Control. 9. Homography-based Visual Servo Tracking for a Fixed Camera Configuration with a Camera-in-hand Extension. 10. Navigation Function-based Visual Control with Field-of-view Constraints. 11. Robust Control for Moving Object Tracking with Trajectory Tracking Extension. 12. Trifocal Tensor-based Unified Tracking and Regulation of Wheeled Mobile Robots. 13. Homography-based Unified Tracking and Regulation of Wheeled Mobile Robots with Euclidean Reconstruction. 14. Conclusion and Future Research Directions.