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Record Nr. |
UNINA9911006975403321 |
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Autore |
Kolodko Julian |
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Titolo |
Motion vision : design of compact motion sensing solutions for autonomous systems navigation / / by Julian Kolodko and Ljubo Vlacic |
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Pubbl/distr/stampa |
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London, : Institution of Electrical Engineers, c2005 |
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ISBN |
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1-281-97095-6 |
9786611970956 |
0-86341-158-4 |
1-60119-089-1 |
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Descrizione fisica |
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1 online resource (458 p.) |
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Collana |
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IEE control engineering series ; ; v. 67 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Motion - Measurement |
Detectors - Design and construction |
Motion control devices - Design and construction |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. [395]-415) and index. |
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Nota di contenuto |
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Contents; Preface; List of abbreviations; Symbols; Typographical conventions; Acknowledgements; 1 Introduction; PART 1 - BACKGROUND; 2 Mathematical preliminaries; 3 Motion estimation; PART2 - ALGORITHM DEVELOPMENT; 4 Real-time motion processing; 5 Motion estimation for autonomous navigation; PART3 - HARDWARE; 6 Digital design; 7 Sensor implementation; PART4 - APPENDICES; A System timing; B SDRAM timing; C FPGA design; D Simulation of range data; Bibliography; Index |
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Sommario/riassunto |
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This comprehensive new 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. This algorithm fits with the motion processing model, hardware and software constraints and resolves depth-velocity ambiguity, which is critical for autonomous navigation. There is also extensive coverage on the use of this algorithm in digital hardware and describes both the initial motion processing model, the chosen hardware platforms, and the global function of th |
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