Feature-based speed limit sign detection using a graphics processing unit
Univ. of California at Davis, USA
IEEE Intelligent Vehicles Symposium (IV), 2011
@article{glavtchevfeature,
title={Feature-Based Speed Limit Sign Detection Using a Graphics Processing Unit},
author={Glavtchev, V. and Muyan-Oz{c{c}}elik, P. and Ota, J.M. and Owens, J.D.},
booktitle={IEEE Intelligent Vehicles Symposium (IV), 2011},
year={2011}
}
In this study we test the idea of using a graphics processing unit (GPU) as an embedded co-processor for real-time detection of European Union (EU) speed-limit signs. The input to the system is a set of grayscale videos recorded from a forward-facing camera mounted in a vehicle. We introduce a new technique for implementing the radial symmetry detector (RSD) efficiently using the native rendering capabilities of a GPU. The technique maps the algorithms to the hardware such that the detection of speed-limit sign candidates is significantly accelerated. The system reaches up to 88% detection rate and runs at 33 frames per second on video sequences with VGA (640×480) resolution on an embedded system with an Intel Atom 230 @ 1.67 GHz CPU and a NVIDIA GeForce 9400M GS GPU.
July 17, 2011 by hgpu
