Motion Vision
Design of compact motion sensing solutions for navigation of autonomous systems
Seiten
2005
Institution of Engineering and Technology (Verlag)
978-0-86341-453-4 (ISBN)
Institution of Engineering and Technology (Verlag)
978-0-86341-453-4 (ISBN)
This comprehensive book deals with motion estimation for autonomous systems from a biological, algorithmic and digital perspective. An algorithm, which is based on the optical flow constraint equation, is described in detail.
Segmenting the environment surrounding an autonomous vehicle into coherently moving regions is a vital first step towards intelligent autonomous navigation. Without this temporal information, navigation becomes a simple obstacle avoidance scheme that is inappropriate in highly dynamic environments such as roadways and places where many people congregate.
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.
Segmenting the environment surrounding an autonomous vehicle into coherently moving regions is a vital first step towards intelligent autonomous navigation. Without this temporal information, navigation becomes a simple obstacle avoidance scheme that is inappropriate in highly dynamic environments such as roadways and places where many people congregate.
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.
J. Kolodko currently works at the Intelligent Control Systems Laboratory, the Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, Australia. L. Vlacic currently works at the Intelligent Control Systems Laboratory, the Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, Australia.
Chapter 1: Introduction
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
Erscheint lt. Verlag | 28.3.2005 |
---|---|
Reihe/Serie | Control, Robotics and Sensors |
Verlagsort | Stevenage |
Sprache | englisch |
Maße | 156 x 234 mm |
Themenwelt | Technik ► Elektrotechnik / Energietechnik |
ISBN-10 | 0-86341-453-2 / 0863414532 |
ISBN-13 | 978-0-86341-453-4 / 9780863414534 |
Zustand | Neuware |
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