The Oxford University Robotics Research Group has been working for several years to improve the ability of automated guided vehicles. This book brings together much of the key research work on sensors and planning that was inspired by an industrial vehicle donated by a factory automation division in GEC, GEC-FAST, together with background material to provide a basic but up-to-date reference guide to autonomous vehicle research. The book includes work on control, sensing technologies, sensor management and data-fusion, different styles of path planning suited for off-line or online plans and task planning. It is designed to act both as a reference for the robotics professional, and as a text for university-level courses.Contents: IntroductionReal Time Architectures for Sensing and Planning:The Oxford Project and the GEC AGVSensor-Based Control ArchitectureSonar Directed PlanningSensing and Navigation:Low Cost Range Sensors for Reactive PlanningOptical Triangulation Range SensorsModular Sonar Sensing for Vehicle NavigationArchitectures and Algorithms for 3-D VisionRange Image Feature Extraction and RepresentationModel Based Planning:Introduction to Path PlanningPath Planning for the AGVTask PlanningModellingReadership: Engineers, students and researchers in robotics.Key Features:Covers a wide range of topics of current interest in mathematical finance and its applicationsContributors include many of the most well-known active participants in the field of modern mathematical financeWritten in part under the stimulus of the events of the financial crisis, and as such is representative of the progressive developments that have ensued both as a consequence of and as a reaction to the crisis