Real Time 3D Location of a Car from Three Characteristic Points Observed in a Video Image Sequence
| Autor: | Eric Montagne, J. Gallice, J. Alizon, Philippe Martinet |
|---|---|
| Přispěvatelé: | Laboratoire des sciences et matériaux pour l'électronique et d'automatique (LASMEA), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Centre National de la Recherche Scientifique (CNRS), MARTINET, PHILIPPE |
| Rok vydání: | 1994 |
| Předmět: |
0209 industrial biotechnology
Engineering Smoothness Sequence Orientation (computer vision) business.industry Frame (networking) Real-time computing 020206 networking & telecommunications Image processing 02 engineering and technology [SPI.AUTO]Engineering Sciences [physics]/Automatic Range (mathematics) [SPI.AUTO] Engineering Sciences [physics]/Automatic 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering Computer vision Real-time data Artificial intelligence business ComputingMilieux_MISCELLANEOUS Digital signal processing |
| Zdroj: | 7th IFAC/IFORS Symposium on Transportation Systems 7th IFAC/IFORS Symposium on Transportation Systems, Aug 1994, Tianjin, China. pp.385-390 |
| ISSN: | 1474-6670 |
| DOI: | 10.1016/s1474-6670(17)47497-0 |
| Popis: | The wide range of potential applications of vision techniques for autonomous vehicles has led the research world to develop efficient algorithms and to implant them in specific architectures to satisfy real time constraints. This paper describes a direct 3D location method used with a tracking algorithm based on the smoothness of motion of all features of the model. Both were implanted in a DSP processors vision machine giving real time information about the following model such as distance, orientation or next frame location. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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