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Proceedings Paper

Real-time and low-cost embedded platform for car's surrounding vision system
Author(s): Sergio Saponara; Emilio Franchi
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Paper Abstract

The design and the implementation of a flexible and low-cost embedded system for real-time car’s surrounding vision is presented. The target of the proposed multi-camera vision system is to provide the driver a better view of the objects that surround the vehicle. Fish-eye lenses are used to achieve a larger Field of View (FOV) but, on the other hand, introduce radial distortion of the images projected on the sensors. Using low-cost cameras there could be also some alignment issues. Since these complications are noticeable and dangerous, a real-time algorithm for their correction is presented. Then another real-time algorithm, used for merging 4 camera video streams together in a single view, is described. Real-time image processing is achieved through a hardware-software platform

Paper Details

Date Published: 29 April 2016
PDF: 7 pages
Proc. SPIE 9897, Real-Time Image and Video Processing 2016, 98970T (29 April 2016); doi: 10.1117/12.2228236
Show Author Affiliations
Sergio Saponara, Univ. di Pisa (Italy)
Emilio Franchi, Rico S.r.l. (Italy)


Published in SPIE Proceedings Vol. 9897:
Real-Time Image and Video Processing 2016
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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