Visual Odometry with ROS: Using Cameras for Precise Positioning in GPS-Denied Environments - Tapa blanda

Sinopsis

Visual Odometry with ROS is a practical guide to using cameras for precise positioning in GPS-denied environments.

This book explains how visual odometry helps robots estimate movement, track position, and support navigation when GPS is weak, unavailable, or unreliable. Readers will learn how camera data, feature tracking, pose estimation, calibration, sensor fusion, mapping, and ROS-based software workflows work together to improve robot localization.

Inside, the book covers visual odometry concepts, camera-based motion tracking, monocular and stereo vision ideas, feature detection, trajectory estimation, visual SLAM basics, ROS integration, camera calibration, real-time vision pipelines, navigation testing, and practical workflows for working in GPS-denied spaces.

Written for robotics students, drone developers, ROS users, computer vision learners, UAV builders, and autonomous-systems engineers, this guide provides a clear foundation for understanding how cameras can support positioning and navigation.

Whether you are building aerial robots, mobile robots, mapping tools, or autonomous navigation systems, this book will help you understand how visual odometry works and how it can be used with ROS in practical robotics projects.

Buy this book today and start learning how to use cameras for precise robot positioning in GPS-denied environments.

"Sinopsis" puede pertenecer a otra edición de este libro.