Zusammenfassung
Autonomous driving is one of the major trends in mobility for the past decade as well as for the upcoming years. In order to realize a fully automated vehicle steering a detailed representation about the cars environment is of crucial importance. This is only possible with reconstruction systems allowing dense reconstruction grids combining trustworthiness of the data, based on redundant information.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Literatur
1. Okuda R, Kajiwara Y, Terashima K. A survey of technical trend of ADAS and autonomous driving. Proc Tech Progr – 2014 Int Symp VLSI Technol Syst Appl. 2014.
2. Becker J, Colas M-BA, Nordbruch S, Fausten M. Bosch’s Vision and Roadmap Toward Fully Autonomous Driving. Road Veh Autom. 2014.
3. Luettel T, Himmelsbach M, Wuensche H-J. Autonomous Ground Vehicles – Concepts and a Path to the Future. Proc IEEE. 2012.
4. Ziebinski A, Cupek R, Erdogan H, Waechter S. A Survey of ADAS Technologies for the Future Perspective of Sensor Fusion. Int Conf Comput Collect Intell. 2016.
5. Faugeras O. Three-Dimensional Computer Vision – A Geometric Viewpoint.; 1993.
6. Szeliski R. Computer Vision – Algorithms and Applications.; 2011.
7. Bosch. Second Generation Multi Purpose Camera (MPC2).; 2013.
8. Batlle J, Mouaddib EM, Salvi J. Recent progress in coded structured light as a technique to solve the correspondence problem: a survey. Pattern Recognit. 1998.
9. Hartley R, Zisserman A. Multiple View Geometry in Computer Vision.; 2004.
10. Salvi J, Pages J, Batlle J. Pattern codification strategies in structured light systems. Pattern Recognit. 2004;(Agent Based Computer Vision).
11. Schmalz C. Robust Single-Shot Structured Light 3D Scanning. 2011.
12. Zhang Z. A flexible new technique for camera calibration. IEEE Trans Pattern Anal Mach Intell. 2002.
13. Fu X, Wang Z, Kawasaki H, Sagawa R, Furukawa R. Calibration of the Projector with Fixed Pattern and Large Distortion Lens in a Structured Light System. Int Conf Mach Vis Appl. 2013.
14. Moreno D, Taubin G. Simple, Accurate, and Robust Projector-Camera Calibration. 3D Imaging, Model Process Vis Transm. 2012.
15. Quellet J-N, Rochette F, Hebert P. Geometric Calibration of a Structured Light System Using Circular Control Points. 3D Data Process Vis Transm. 2008.
16. Canny J. A Computational Approach to Edge Detection. IEEE Trans Pattern Anal Mach Intell. 1986.
17. Kovesi P. Peter Kovesi Peter Kovesi MATLAB and Octave functions for computer vision and image processing. http://www.peterkovesi.com/matlabfns/index.html#edgelink. Published 2000.
18. Mukundan R, Ramakrishnan KR. Moment Functions in Image Analysis — Theory and Applications. World Scientific Publishing Co. Pte. Ltd.; 1998.
19. Abdou IE, Pratt WK. Quantitative design and evaluation of enhancement/thresholding edge dete ctors. Proc IEEE. 1979.
20. Beardsley PA, Zisserman A, Murray DW. Navigation using affine structure from motion. 3rd Eur Conf Comput Vis. 1994.
21. Hartley R, Sturm P. Triangulation. Comput Vis Image Underst. 1997.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Fachmedien Wiesbaden GmbH
About this paper
Cite this paper
Schneider, C., Meyer, M., Kunz, T. (2017). Automotive 3D reconstruction based on multi-pixel LED headlight systems. In: Isermann, R. (eds) Fahrerassistenzsysteme 2017. Proceedings. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-19059-0_6
Download citation
DOI: https://doi.org/10.1007/978-3-658-19059-0_6
Published:
Publisher Name: Springer Vieweg, Wiesbaden
Print ISBN: 978-3-658-19058-3
Online ISBN: 978-3-658-19059-0
eBook Packages: Computer Science and Engineering (German Language)