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Proceedings Paper

Real-time multi-camera video acquisition and processing platform for ADAS
Author(s): Sergio Saponara
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Paper Abstract

The paper presents the design of a real-time and low-cost embedded system for image acquisition and processing in Advanced Driver Assisted Systems (ADAS). The system adopts a multi-camera architecture to provide a panoramic view of the objects surrounding the vehicle. Fish-eye lenses are used to achieve a large Field of View (FOV). Since they introduce radial distortion of the images projected on the sensors, a real-time algorithm for their correction is also implemented in a pre-processor. An FPGA-based hardware implementation, re-using IP macrocells for several ADAS algorithms, allows for real-time processing of input streams from VGA automotive CMOS cameras.

Paper Details

Date Published: 29 April 2016
PDF: 7 pages
Proc. SPIE 9897, Real-Time Image and Video Processing 2016, 98970E (29 April 2016); doi: 10.1117/12.2228235
Show Author Affiliations
Sergio Saponara, Univ. di Pisa (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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