Motion Vision
Language: English
Published by Institution of Engineering and Technology, GB, 2005
- Hardcover
- New
Seller: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United
AbeBooks seller since June 20, 2025
Condition: New
£ 122.00
Quantity: Over 20 available
Add to basketItem description from seller
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.
Seller Inventory # LU-9780863414534
- Title
- Motion Vision
- Author
- J. Kolodko, L. Vlacic
- Publisher
- Institution of Engineering and Technology, GB
- Publication year
- 2005
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 0863414532
- ISBN 13
- 9780863414534
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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
Rarewaves USA United
HEBRON, KY, U.S.A.
AbeBooks seller since June 20, 2025
Shipping rates within U.S.A.
| Item | 30 to 30 business days | 14 to 14 business days |
|---|---|---|
| First item | £ 37.78 | £ 50.63 |
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