Keywords
Citation
Rigelsford, J. (2000), "Visual Navigation: From Biological Systems to Unmanned Ground Vehicles", Industrial Robot, Vol. 27 No. 6. https://doi.org/10.1108/ir.2000.04927fae.003
Publisher
:Emerald Group Publishing Limited
Copyright © 2000, MCB UP Limited
Visual Navigation: From Biological Systems to Unmanned Ground Vehicles
Visual Navigation: From Biological Systems to Unmanned Ground Vehicles
Yiannis Aloimonos (Ed.)Lawrence Erlbaum Associates, Inc.1997432 pp.ISBN 0-8058-2050-7£79.95 (hard cover)
Keywords Navigation, Vehicles
Visual Navigation addresses the major developments of this subject, from biological systems to unmanned ground vehicles (UGVs). The first chapter introduces the topic of Visual navigation. The remaining 11 chapters are divided into three parts. Part one addresses How biological systems deal with navigation problems and consists of chapters 2 and 3. These discuss Vision, action and navigation in animals, and Pattern and 3D vision of insects, respectively.
Chapters 4, 5 and 6 make up part two, which addresses recent theoretical developments suitable for autonomous systems. These three chapters discuss Understanding noise sensitivity in structure from motion, Application of nonmetric vision to some visually guided robotics tasks, and Direct motion perception.
The remaining chapters form part three which addresses the design of autonomous visual navigation systems operating in various environments. Visual navigation using fast content-based retrieval, and From visual homing to object recognition are discussed in chapters 7 and 8. Chapter 9 discusses Planning and navigation in stochastic environments. Minimalist vision for navigation is covered in chapter 10. The last two chapters of the book discuss Landmark-based navigation and the Acquisition of environmental models, and improvements in visual autonomous road vehicle guidance 1987-94.
The wide range of topics discussed in this superbly written book allow it to be both informative and interesting. It is suitable for students, academics, researchers, and those in industry who are involved with, or interested in, visual navigation systems.
Jon Rigelsford