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| Title | Feature-Based Speed Limit Sign Detection Using a Graphics Processing Unit
(In Proceedings) |
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| in | IEEE Intelligent Vehicles |
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| Author(s) |
Vladimir Glavtchev, Pinar Muyan-Ozcelik, Jeffrey M. Ota, John D. Owens |
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| Keyword(s) | intelligent vehicles, feature-based, speed limit recognition, GPGPU, GPU, parallel |
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| Year |
June 2011
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| Location | Baden-Baden, Germany |
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| Date | June 5-9, 2011 |
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| Organization | IEEE |
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| Download |  |
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| BibTeX |  |
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| Abstract |
In this study we test the idea of using a graphics
processing unit (GPU) as an embedded co-processor for realtime
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
(640x480) resolution on an embedded system with an Intel Atom
230 @ 1.67 GHz CPU and a NVIDIA GeForce 9400M GS GPU.
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