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29 April 2016 Real-time multi-camera video acquisition and processing platform for ADAS
Sergio Saponara
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Proceedings Volume 9897, Real-Time Image and Video Processing 2016; 98970E (2016) https://doi.org/10.1117/12.2228235
Event: SPIE Photonics Europe, 2016, Brussels, Belgium
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.
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Sergio Saponara "Real-time multi-camera video acquisition and processing platform for ADAS", Proc. SPIE 9897, Real-Time Image and Video Processing 2016, 98970E (29 April 2016); https://doi.org/10.1117/12.2228235
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KEYWORDS
Cameras
Image processing
Image processing
Detection and tracking algorithms
Radar
Image filtering
LIDAR
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