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EVI
2010

GPU implementation of a road sign detector based on particle swarm optimization

8 years 10 months ago
GPU implementation of a road sign detector based on particle swarm optimization
Road Sign Detection is a major goal of the Advanced Driving Assistance Systems. Most published work on this problem share the same approach by which signs are first detected and then classified in video sequences, even if different techniques are used. While detection is usually performed using classical computer vision techniques based on color and/or shape matching, most often classification is performed by neural networks. In this work we present a novel modular and scalable approach to road sign detection based on Particle Swarm Optimization, which takes into account both shape and color to detect signs. In our approach, in particular, the optimization of a single fitness function allows both to detect a sign belonging to a certain category and, at the same time, to estimate its position with respect to the camera reference frame. To speed up processing, the algorithm implementation exploits the parallel computing capabilities offered by modern graphics cards and, in particular, by...
Luca Mussi, Stefano Cagnoni, Elena Cardarelli, Fab
Added 17 May 2011
Updated 17 May 2011
Type Journal
Year 2010
Where EVI
Authors Luca Mussi, Stefano Cagnoni, Elena Cardarelli, Fabio Daolio, Paolo Medici, Pier Paolo Porta
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