Frank Dellaert – författare

Simultaneous Localization and Mapping (SLAM) is a foundational technology that enables robots and autonomous systems to map and navigate complex environments. This handbook provides a comprehensive overview of the field, bringing together more than 60 leading researchers from around the world. The book is organized into three parts. Part I introduces the mathematical and algorithmic foundations of SLAM, including estimation, optimization, and modern map representations. Part II focuses on the state of practice, covering sensor modalities and real-world systems, from inertial and visual odometry to LiDAR, radar, and multimodal SLAM. Part III explores emerging directions, highlighting the field's transition toward Spatial AI, where machines build richer spatial and semantic understanding of their environments. Designed as a unified reference for advanced students, researchers, and engineers, this handbook presents both the principles and the future of robotic spatial perception.

This book constitutes the proceedings of the 11th RoboCup International Symposium, held in Atlanta, GA, USA, in July 2007, immediately after the 2007 RoboCupSoccer, RoboCupRescue and RoboCupJunior competitions. Papers presented at the symposium focused on topics related to these three events and to artificial intelligence and robotics in general. The 18 revised full papers and 42 revised poster papers included in the book were selected from 133 submissions. Each paper was reviewed by at least three program committee members. The program committee also nominated two papers for the Best Paper and Best Student Paper awards, respectively. The book provides a valuable source of reference and inspiration for R&D professionals and educationalists active or interested in robotics and artificial intelligence.

This book constitutes the thoroughly refereed post-proceedings of the 15th International Workshop on Theoretic Foundations of Computer Vision, held as a Dagstuhl Seminar in Dagstuhl Castle, Germany, in June/July 2011. The 19 revised full papers presented were carefully reviewed and selected after a blind peer-review process. The topic of this Workshop was Outdoor and Large-Scale Real-World Scene Analysis, which covers all aspects, applications and open problems regarding the performance or design of computer vision algorithms capable of working in outdoor setups and/or large-scale environments. Developing these methods is important for driver assistance, city modeling and reconstruction, virtual tourism, telepresence, and motion capture.