Algorithms for Machine Vision in Navigation and Control

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.- 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.- Optimal Generation of Closed Trajectories Over Large, Arbitrary Surfaces Based on Non-Calibrated Vision.- Data Exchange and Task of Navigation for Robotic Group.- 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.