Tomographical scene reconstruction in the active safety car project

Tomographical reconstruction algorithms can be applied to camera based measurements and thus reconstruct the scenery without knowledge about included objects. The latter is interesting in the domain of driver assistance systems that have to monitor the driveway independently from a priori knowledge about possibly appearing objects. The paper presents tomographical background information, the transfer from radiographing to visual light rays and its negative impacts, and some first result obtained by applying the presented algorithm to images of a from view camera.

[1]  Anton Kummert,et al.  Realization of multidimensional signal processing systems given in natural k-D state space description , 2012, Multidimens. Syst. Signal Process..

[2]  H.M. Thomas,et al.  Three-dimensional image reconstruction for CCD camera based optical computed tomography scanner , 2007, 2007 IEEE Nuclear Science Symposium Conference Record.

[3]  David M. Bevly,et al.  A Low-Cost Solution for an Integrated Multisensor Lane Departure Warning System , 2009, IEEE Transactions on Intelligent Transportation Systems.

[4]  Anton Kummert,et al.  Multisensor data fusion for advanced driver assistance systems - the Active Safety Car project , 2011, The 2011 International Workshop on Multidimensional (nD) Systems.

[5]  Anton Kummert,et al.  Multidimensional velocity filters for visual scene analysis in automotive driver assistance systems , 2008, Multidimens. Syst. Signal Process..

[6]  Milan Sonka,et al.  Image Processing, Analysis and Machine Vision , 1993, Springer US.

[7]  A. Kummert,et al.  On the influence of positioning errors on tomography - based sonar imaging systems , 2009, OCEANS 2009-EUROPE.

[8]  Gabor T. Herman,et al.  Fundamentals of Computerized Tomography: Image Reconstruction from Projections , 2009, Advances in Pattern Recognition.

[9]  D. T. Gering,et al.  Object modeling using tomography and photography , 1999, Proceedings IEEE Workshop on Multi-View Modeling and Analysis of Visual Scenes (MVIEW'99).