Basic Relations: Image Sequences -- "the World" -- Subjects and Subject Classes -- Application Domains, Missions, and Situations -- Extraction of Visual Features -- Recursive State Estimation -- Beginnings of Spatiotemporal Road and Ego-state Recognition -- Initialization in Dynamic Scene Understanding -- Recursive Estimation of Road Parameters and Ego State while Cruising -- Perception of Crossroads -- Perception of Obstacles and Vehicles -- Sensor Requirements for Road Scenes -- Integrated Knowledge Representations for Dynamic Vision -- Mission Performance, Experimental Results -- Conclusions and Outlook
Summary
"The book uniquely details an approach to real-time machine vision for the understanding of dynamic scenes, viewed from a moving platform that begins with spatio-temporal representations of motion for hypothesized objects whose parameters are adjusted by well-known prediction error feedback and recursive estimation techniques." "Dynamic Vision for Perception and Control of Motion will be a key reference for technologists working in autonomous vehicles and mobile robotics in general who wish to access the leading research in this field, as well as researchers and students working in machine vision and dynamic control interested in one of the most fascinating and promising applications of these techniques."--Jacket
Bibliography
Includes bibliographical references (pages 461-472) and index
