
Motion Vision
Description
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The book begins by looking at the problem of motion estimation from biological, algorithmic and digital perspectives. It goes on to describe an algorithm that fits with the motion processing model, and hardware and software constraints. This algorithm is based on the optical flow constraint equation and introduces range information to resolve the depth-velocity ambiguity, which is critical for autonomous navigation. Finally, implementation of the algorithm in digital hardware is described in detail, covering both the initial motion processing model and the chosen hardware platforms, and the global functional structure of the system.
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Persons
L. Vlacic currently works at the Intelligent Control Systems Laboratory, the Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, Australia.
Content
Part 1: Background
Chapter 2: Mathematical preliminaries
Chapter 3: Motion estimation
Part 2: Algorithm development
Chapter 4: Real-time motion processing
Chapter 5: Motion estimation for autonomous navigation
Part 3: Hardware
Chapter 6: Digital design
Chapter 7: Sensor implementation
Appendices
System requirements
File format: PDF
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