Textbook in PDF format

This book presents recent research advances in autonomous mobile mapping robots, covering a range of topics. These include unconventional trajectories for mobile 3D scanning, key software components such as lidar odometry, look closure, pose graph SLAM, map refinement, path planning, and coverage algorithms. The book also explores multi-robot mapping and scalable algorithms for simultaneous localization and mapping. Finally, it delves into real-world applications like aerial 3D mapping and automotive SLAM in urban environments.
Autonomous Mobile Mapping Robots – Current State and Future Real-World Challenges
Unconventional Trajectories for Mobile 3D Scanning and Mapping
Autonomous Mobile Mapping Robots: Key Software Components
Coverage Technology of Autonomous Mobile Mapping Robots
Multi-Robot Mapping Based on 3D Maps Integration
Scalable Algorithms for Simultaneous Mapping and Localization of Mobile Robot Swarms
Aerial 3D Mapping with Continuous Time ICP for Urban Search and Rescue
Practical Insights on Automotive SLAM in Urban Environments