Real-time and low-cost embedded platform for car's surrounding vision system

Sergio Saponara; Emilio Franchi

doi:10.1117/12.2228236

29 April 2016 Real-time and low-cost embedded platform for car's surrounding vision system

Sergio Saponara, Emilio Franchi

Proceedings Volume 9897, Real-Time Image and Video Processing 2016; 98970T (2016) https://doi.org/10.1117/12.2228236
Event: SPIE Photonics Europe, 2016, Brussels, Belgium

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

Citation Download Citation

Sergio Saponara and Emilio Franchi "Real-time and low-cost embedded platform for car's surrounding vision system", Proc. SPIE 9897, Real-Time Image and Video Processing 2016, 98970T (29 April 2016); https://doi.org/10.1117/12.2228236

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