Dynamic Vision for Perception and Control of Motion

The application of machine vision to autonomous vehicles is an increasingly important area of research with exciting applications in industry, defense, and transportation likely in coming decades. This volume 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. It includes mission performance reports of the first vehicles using these innovative techniques. In addition, it provides pointers to the future development and likely applications of this hugely important field of research.