Algorithms for Machine Vision in Navigation and Control / edited by Oleg Sergiyenko, Wendy Flores-Fuentes, Paolo Mercorelli.

Format:

Book

Author/Creator:

Sergiyenko, Oleg.

Series:

Signals and Communication Technology, 1860-4870

Language:

English

Subjects (All):

Telecommunication.

Signal processing.

Computational intelligence.

Automatic control.

Robotics.

Automation.

Communications Engineering, Networks.

Signal, Speech and Image Processing.

Computational Intelligence.

Control, Robotics, Automation.

Local Subjects:

Communications Engineering, Networks.

Signal, Speech and Image Processing.

Computational Intelligence.

Control, Robotics, Automation.

Physical Description:

1 online resource (836 pages)

Edition:

2nd ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

The new edition of this book presents updated perspectives in vision-based applications. These contributions are focused on optoelectronic sensors, 3D and 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 other areas where 3D and 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 updates in image and signal sensors, methods, and 3D & 2D technologies in vision-based theories; Discusses new applications in robotics, detection, tracking, estimation, avoidance, navigation, and imagery processing; Includes research contributions in scientific, industrial and civil applications. .

Contents:

Introduction

Part I. Image and Signal Sensors

Image and Signal Sensors for Computing and Machine Vision

Bio-Inspired, Real-Time Passive Vision for Mobile Robots

Color and Depth Sensing Sensor Technologies for Robotics and Machine Vision

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

Image-based Target Detection and Tracking using Image-assisted Robotic Total Stations

The Methods of Radar Detection of Landmarks by Mobile Autonomous Robots

Stereoscopic Vision Systems in Machine Vision, Models and Applications

UKF-Based Image Filtering and 3D Reconstruction

Part III. Pose Estimation, Avoidance of Objects, Control and Data Exchange for Navigation

Lie Algebra Method for Pose Optimization Computation

Optimal Generation of Closed Trajectories Over Large, Arbitrary Surfaces Based on Non-Calibrated Vision

Data Exchange and Task of Navigation for Robotic Group

Autonomous Mobile Vehicles Systems Overview for Wheeled Ground Applications

Aerial Imagery Processing

Methods for Ensuring the Accuracy of Radiometric and Optoelectronic Navigation Systems of Flying Robots in a Developed Infrastructure

Stabilization of Airborne Video Using Sensor Exterior Orientation with Analytical Homography Modeling

Conclusion.

Notes:

Print version record.

ISBN:

9783032185662

OCLC:

1611797270