Synopsis
This is a reference to the supporting technologies associated with the field of robotics. Presenting the material in a manner which often parallels strategies of robotic development, the author provides an explanation of the theory of sensor operation. A review of both prototype and commercially available candidate systems is presented throughout and then followed up with practical lessons learned from actual use on various robotic vehicles.

Computer Vision and Applications, Concise Edition, offers a fresh approach to computer vision by regarding the whole process from image formation to measuring, recognition, or reacting as an integral process. Computer vision is understood as the host of techniques used to acquire, process, analyse, and understand complex, higher-dimensional data from the environment for scientific and technical exploration. The book takes into account the interdisciplinary nature of computer vision with its links to virtually all natural sciences and attempts to bridge the gap between basic research and applications.
Based on the highly successful three-volume reference Handbook of Computer Vision and Applications, this concise edition covers in a single volume the entire spectrum of computer vision ranging from the imaging process to high-end algorithms and applications. This book consists of three parts. The first part, Sensors and Imaging, covers image formation and acquisition. The second part, Signal Processing and Pattern Recognition, focuses on processing of the spatial and spatio-temporal signals acquired by imaging sensors. The third part consists of an Application Gallery which illustrates a collection of application examples of computer vision from both industry and science.

Artificial Vision for Mobile Robots : Stereo Vision and Multisensory Perception
Nicholas Ayache, Peter T. Sander

Synopsis
Presents theoretical and practical ideas for providing robots with depth perception. Among the topics are passive binocular and trinocular stereo vision, local and global 3D map reconstructions, 3D navigation, control of uncertainty, and strategies of perception. Translated from the French

Robust Vision for Vision-Based Control of Motion (IEEE Press Series on Micorelectronic Systems)
Markus Vincze (Editor), Gregory D. Hager (Editor)

Synopsis
In this edited collection of state-of-the-art papers, contributors highly regarded in robust vision provide readers with up-to-date applications in the field, whatever the industry - from space ventures to mobile surveillance. It also contains an in-depth analysis of vision techniques used to control the motion of robots and machines. Expert contributors offer key insights into: current control issues including hardware design, system architecture, sensor data fusion and visual tracking; modelling methods for vision-based sensing; useful summaries of recent conclusions drawn from robust-vision workshops; and future research needs.