Translator Disclaimer
29 April 2016 Real-time multi-camera video acquisition and processing platform for ADAS
Author Affiliations +
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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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);

Back to Top