Overtaking is one of the most dangerous operations in driving. The rear-view mirror is sometimes not consulted by the driver or is momentarily useless because of the blind spot. This paper describes a simple FPGA system based on motion detectors of the fly and rigid-body detection that is able to efficiently segment overtaking cars using a sparse map of features from the visual field of the rear-view mirror. FPGA implementation allows real-time image processing on an embedded system.
14th International Conference on Field Programmable Logic and Application
Full professor in computer architecture, principal investigator at the Computational Neuroscience and Neurorobotics Lab and principal investigator of the VALERIA lab of the University of Granada.
Associate Professor at the Department of Computer Engineering, Automation and Robotics and Principal Investigator at the Applied Computational Neuroscience Group.