Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Real time traffic sign recognition system on FPGA
Download
index.pdf
Date
2010
Author
Irmak, Hasan
Metadata
Show full item record
Item Usage Stats
366
views
126
downloads
Cite This
In this thesis, a new algorithm is proposed for the recognition of triangular, circular and rectangular traffic signs and it is implemented on an FPGA platform. The system can recognize 32 different traffic signs with high recognition accuracy. In the proposed method, first the image is segmented into red and blue regions, and according to the area of the each segment, the dominant color is decided. Then, Laplacian of Gaussian (LoG) based edge detection is applied to the segmented image which is followed by Hough Transform for shape extraction. Then, recognition based on Informative Pixel Percentage (IPP) matching is executed on the extracted shapes. The Traffic Sign Recognition (TSR) system is implemented on Virtex 5 FX70T FPGA, which has an embedded PPC440 processor. Some modules of TSR algorithm are designed in the FPGA logic while remaining modules are designed in the PPC440 processor. Work division between FPGA and PPC440 is carried out considering their capabilities and shortcomings of FPGA and processor. Benefits of using an FPGA with an embedded processor are exploited to optimize the system.
Subject Keywords
Computer engineering.
,
Computer hardware.
URI
http://etd.lib.metu.edu.tr/upload/12612360/index.pdf
https://hdl.handle.net/11511/19909
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
An FPGA implementation of real-time electro-optic & IR image fusion
Çölova, İbrahim Melih; Akar, Gözde; Department of Electrical and Electronics Engineering (2010)
In this thesis, a modified 2D Discrete Cosine Transform based electro-optic and IR image fusion algorithm is proposed and implemented on an FPGA platform. The platform is a custom FPGA board which uses ALTERA Stratix III family FPGA. The algorithm is also compared with state of the art image fusion algorithms by means of an image fusion software application GUI developed in Matlab®. The proposed algorithm principally takes corresponding 4x4 pixel blocks of two images to be fused and transforms them by means...
SystemC implementation with analog mixed signal modeling for a microcontroller
Mert, Yakup Murat; Aşkar, Murat; Department of Electrical and Electronics Engineering (2007)
In this thesis, an 8-bit microcontroller, PIC 16F871, has been implemented using SystemC with classical hardware design methods. Analog modules of the microcontroller have been modeled behaviorally with SystemC-AMS which is the analog and mixed signal extensions for the SystemC. SystemC-AMS provides the capability to model non-digital modules and synchronization with the SystemC kernel. In this manner, electronic systems that have both digital and analog components can be described and simulated very effect...
Multiagent moving target search in fully visible grid environments with no speed difference
Eroğul, Can; Polat, Faruk; Department of Computer Engineering (2006)
In this thesis, a new real-time multi-agent moving target pursuit algorithm and a moving target algorithm are developed and implemented. The environment is a grid world, in which a coordinated team of agents cooperatively blocks the possible escape routes of an intelligent target in real-time. Most of the moving target search algorithms presume that the agents are faster than the targets, so the pursuit is sure to end in favor of the agents. In this work, we relax this assumption and assume that all the mov...
Frequency invariant beamforming and its application to wideband direction of arrival estimation
Babataş, Eren; Candan, Çağatay; Department of Electrical and Electronics Engineering (2008)
In this thesis the direction of arrival estimation of wideband signals using frequency invariant beamforming method is examined. The difficulty with the direction of arrival estimation of wideband signals is that it is not possible to obtain a single covariance matrix valid for the whole frequency spectrum of the signal. There are various methods proposed in the literature to overcome this difficulty. The common aim of all the methods is to obtain a composite covariance matrix for the overall band of the si...
Traffic sign recognition for unmanned vehicle control
Havur, Mehmet Bülent; Bulut, Mehmet Mete; Department of Electrical and Electronics Engineering (2006)
In this thesis, video frames acquired by a camera in a moving car are processed for detection of candidates of triangular, rectangular and circular traffic/road signs based on mainly shape information by performing contour analysis. Color information is utilized as an auxiliary method to improve detection. Then recognition based on template matching is realized on detected traffic/road sign candidates. Detection and recognition results of traffic/road signs in video frames taken in different time intervals ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
H. Irmak, “Real time traffic sign recognition system on FPGA,” M.S. - Master of Science, Middle East Technical University, 2010.