Detection of Moving Objects by Spatio-Temporal Motion Analysis : Real-time Motion Estimation for Driver Assistance Systems

Clemens Rabe

ISBN 10: 383813219X / ISBN 13: 9783838132198

Editore: Südwestdeutscher Verlag für Hochschulschriften AG Co. KG, 2015

Riguardo questo articolo

Zustand: Sehr gut | Seiten: 168 | Sprache: Englisch | Produktart: Sonstiges.

Codice articolo 12393678/2

Dati bibliografici

• Titolo: Detection of Moving Objects by Spatio-Temporal Motion Analysis : Real-time Motion Estimation for Driver Assistance Systems
• Editore: Südwestdeutscher Verlag für Hochschulschriften AG Co. KG
• Data di pubblicazione: 2015
• Lingua: Inglese
• ISBN 10: 383813219X
• ISBN 13: 9783838132198
• Rilegatura: Brossura
• Condizione: Sehr gut
• Cataloghi dei venditori:
  • Sonstiges

Descrizione articolo

Riassunto

Driver assistance systems of the future require a thorough understanding of the car's environment. In this thesis, a novel principle (6D-Vision) is presented and investigated in detail, which allows the reconstruction of the 3D motion field from the image sequence obtained by a stereo camera system. Given correspondences of stereo measurements over time, this principle estimates the 3D position and the 3D motion vector of selected points using Kalman Filters, resulting in a real-time estimation of the observed motion field. To estimate the absolute motion field, the ego-motion of the moving observer must be known precisely. Thus, a novel algorithm to estimate the ego-motion from the image sequence is presented. As the 6D-Vision principle is not restricted to particular image processing algorithms, various optical flow and stereo algorithms are evaluated. In addition, two novel scene flow algorithms are introduced, measuring the optical flow and stereo information in a combined approach. This yields more precise and robust results. The application to real-world data, including a demonstrator vehicle for autonomous collision avoidance, is illustrated throughout the thesis.

Informazioni sull?autore

was born in 1979 in Gießen, Germany. He attained his diploma degree in computer engineering from the University of Applied Sciences Würzburg, Germany in 2005. In 2011, he was awarded his PhD in computer science from the University of Kiel, Germany. He works as a research engineer at the Daimler AG in Sindelfingen, Germany.