Machine Vision and Navigation

Machine Vision and Navigation

机器视觉与导航
工业工程学

原价：

￥ 2831.00

售价：

优惠

人工智能领域图书专题

发货周期：预计8-10周发货

作者

Sergiyenko, Oleg(编辑);Flores-Fuentes, Wendy(编辑);Mercorelli, Paolo(编辑)

出版社

Springer Berlin Heidelberg

出版时间

2020年10月12日

装帧

平装

ＩＳＢＮ

9783030225896

复制

页码

851

开本

9.21 x 6.14 x 1.76

语种

英文

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暂无评分

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图书简介

This book presents a variety of perspectives on vision-based applications. These contributions are focused on optoelectronic sensors, 3D & 2D machine vision technologies, robot navigation, control schemes, motion controllers, intelligent algorithms and vision systems. The authors focus on applications of unmanned aerial vehicles, autonomous and mobile robots, industrial inspection applications and structural health monitoring. Recent advanced research in measurement and others areas where 3D & 2D machine vision and machine control play an important role, as well as surveys and reviews about vision-based applications. These topics are of interest to readers from diverse areas, including electrical, electronics and computer engineering, technologists, students and non-specialist readers.• Presents current research in image and signal sensors, methods, and 3D & 2D technologies in vision-based theories and applications; • Discusses applications such as daily use devices including robotics, detection, tracking and stereoscopic vision systems, pose estimation, avoidance of objects, control and data exchange for navigation, and aerial imagery processing; • Includes research contributions in scientific, industrial, and civil applications.

Part I. Image and Signal Sensors.- Chapter 1. Image and Signal Sensors for Computing and Machine Vision: developments to meet future needs.- Chapter 2. Bio-Inspired, Real-Time Passive Vision for Mobile Robots.- Chapter 3. Color and Depth Sensing Sensor Technologies for Robotics and Machine Vision.- Chapter 4. Design and simulation of array cells of mixed sensor-processors for intensity transformation and analog-digital coding in machine vision.- Part II. Detection, Tracking and Stereoscopic Vision Systems.- Chapter 5. Image-based Target Detection and Tracking using Image-assisted Robotic Total Stations.- Chapter 6. The Methods of Radar Detection of Landmarks by Mobile Autonomous Robots.- Chapter 7. The Methods of Radar Detection of Landmarks by Mobile Autonomous Robots.- Chapter 8. Stereoscopic Vision Systems in Machine Vision, Models and Applications.- Chapter 9. UKF-Based Image Filtering and 3D Reconstruction.- Part III. Pose Estimation, Avoidance of Objects, Control and Data Exchange for Navigation.- Chapter 10. Lie Algebra Method for Pose Optimization Computation.- Chapter 11. Optimal Generation of Closed Trajectories Over Large, Arbitrary Surfaces Based on Non-Calibrated Vision.- Chapter 12. Optimal Generation of Closed Trajectories Over Large, Arbitrary Surfaces Based on Non-Calibrated Vision.- Chapter 13. Data Exchange and Task of Navigation for Robotic Group.- Chapter 14. Data Exchange and Task of Navigation for Robotic Group.- Chapter 15. Autonomous Mobile Vehicles Systems Overview for Wheeled Ground Applications.-Aerial Imagery Processing.- Chapter 16. Methods for Ensuring the Accuracy of Radiometric and Optoelectronic Navigation Systems of Flying Robots in a Developed Infrastructure.- Chapter 17. Stabilization of Airborne Video Using Sensor Exterior Orientation with Analytical Homography Modeling.- Chapter 18. Visual Servo Controllers for an UAV Tracking Vegetal Paths.- Part V. Machine Vision for Scientific, Industrial and Civil Applications.- Chapter 19. Machine Vision for Scientific, Industrial and Civil Applications.- Chapter 20. Stairways Detection Based on Single Camera by Motion Stereo for the Blind and Visually Impaired.- Chapter 21. Advanced phase triangulation methods for 3D shape measurements in scientific and industrial applications.- Chapter 22.Detection and tracking of melt pool in blown powder deposition through image processing of infrared camera data.- Chapter 23.Image Processing Filters for Machine Fault Detection and Isolation.- Chapter 24. Control and Automation for Miniaturized Microwave GSG Nanoprobing.- Chapter 25. Control and Automation for Miniaturized Microwave GSG Nanoprobing.- Chapter 26.Computer Vision-based Monitoring of Ship Navigation for Bridge Collision Risk Assessment.

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