Design of efficient embedded system for road sign recognition

[1]  Kamel Besbes,et al.  Real-time embedded system for traffic sign recognition based on ZedBoard , 2019, Journal of Real-Time Image Processing.

[2]  A. Mtibaa,et al.  Hardware implementation and validation of a traffic road sign detection and identification system , 2018, Journal of Real-Time Image Processing.

[3]  Kamel Besbes,et al.  A lighting independent vision based system for driver assistance , 2016, 2016 11th International Design & Test Symposium (IDT).

[4]  Abdellatif Mtibaa,et al.  Hardware implementation and validation of a traffic road sign detection and identification system , 2016, Journal of Real-Time Image Processing.

[5]  Michael Hübner,et al.  FPGA based traffic sign detection for automotive camera systems , 2015, 2015 10th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC).

[6]  Kamel Besbes,et al.  Effect of color spaces on video segmentation performances , 2015, 2015 World Symposium on Computer Networks and Information Security (WSCNIS).

[7]  Kamel Besbes,et al.  Novel approach for real time detection and classification based on template matching in video , 2015, 2015 World Congress on Information Technology and Computer Applications (WCITCA).

[8]  Xinming Huang,et al.  A pipeline architecture for traffic sign classification on an FPGA , 2015, 2015 IEEE International Symposium on Circuits and Systems (ISCAS).

[9]  José Luis Rojo-Álvarez,et al.  Traffic sign segmentation and classification using statistical learning methods , 2015, Neurocomputing.

[10]  Federico Tombari,et al.  Traffic sign detection via interest region extraction , 2015, Pattern Recognit..

[11]  Haibo He,et al.  A GPU-based real-time traffic sign detection and recognition system , 2014, 2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS).

[12]  Yan Han,et al.  Real-time traffic sign recognition based on Zynq FPGA and ARM SoCs , 2014, IEEE International Conference on Electro/Information Technology.

[13]  Jun-Wei Hsieh,et al.  Symmetrical SURF and Its Applications to Vehicle Detection and Vehicle Make and Model Recognition , 2014, IEEE Transactions on Intelligent Transportation Systems.

[14]  Fatin Zaklouta,et al.  Real-time traffic sign recognition in three stages , 2014, Robotics Auton. Syst..

[15]  Anjan Gudigar,et al.  A review on automatic detection and recognition of traffic sign , 2014, Multimedia Tools and Applications.

[16]  Christophe Bobda,et al.  A hardware/software prototyping system for driving assistance investigations , 2016, Journal of Real-Time Image Processing.

[17]  Luca Fanucci,et al.  Low-power DSP system for real-time correction of fish-eye cameras in automotive driver assistance applications , 2014, Journal of Real-Time Image Processing.

[18]  K. Besbes,et al.  Efficient algorithm for automatic road sign recognition and its hardware implementation , 2014, Journal of Real-Time Image Processing.

[19]  Jin Zhao,et al.  Real-time traffic sign detection using SURF features on FPGA , 2013, 2013 IEEE High Performance Extreme Computing Conference (HPEC).

[20]  Kyung-Joong Kim,et al.  Design of a visual perception model with edge-adaptive Gabor filter and support vector machine for traffic sign detection , 2013, Expert Syst. Appl..

[21]  P. Phalguni,et al.  Design and implementation of an automatic traffic sign recognition system on TI OMAP-L138 , 2013, 2013 IEEE International Conference on Industrial Technology (ICIT).

[22]  Rita Cucchiara,et al.  A fast approach for integrating ORB descriptors in the bag of words model , 2013, Electronic Imaging.

[23]  Erdal Oruklu,et al.  FPGA-Based Traffic Sign Recognition for Advanced Driver Assistance Systems , 2013 .

[24]  Majid Mirmehdi,et al.  Real-Time Detection and Recognition of Road Traffic Signs , 2012, IEEE Transactions on Intelligent Transportation Systems.

[25]  Thomas B. Moeslund,et al.  Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey , 2012, IEEE Transactions on Intelligent Transportation Systems.

[26]  Anjan Gudigar,et al.  Kernel Based Automatic Traffic Sign Detection and Recognition Using SVM , 2012, ICECCS 2012.

[27]  Johannes Stallkamp,et al.  Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition , 2012, Neural Networks.

[28]  Kerem Par,et al.  Real-time Traffic Sign Recognition with Map Fusion on Multicore/Many-core Architectures , 2012 .

[29]  Gary R. Bradski,et al.  ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.

[30]  Johannes Stallkamp,et al.  The German Traffic Sign Recognition Benchmark: A multi-class classification competition , 2011, The 2011 International Joint Conference on Neural Networks.

[31]  H. Fleyeh,et al.  Eigen-based traffic sign recognition , 2011 .

[32]  Fatin Zaklouta,et al.  Warning traffic sign recognition using a HOG-based K-d tree , 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).

[33]  Ignacio Parra,et al.  Automatic Traffic Signs and Panels Inspection System Using Computer Vision , 2011, IEEE Transactions on Intelligent Transportation Systems.

[34]  Michael Felsberg,et al.  Using Fourier Descriptors and Spatial Models for Traffic Sign Recognition , 2011, SCIA.

[35]  David Shan-Hill Wong,et al.  Comparison of Embedded System Design for Industrial Applications , 2011, IEEE Transactions on Industrial Informatics.

[36]  Saturnino Maldonado-Bascón,et al.  Goal Evaluation of Segmentation Algorithms for Traffic Sign Recognition , 2010, IEEE Transactions on Intelligent Transportation Systems.

[37]  Yuzo Hirai,et al.  Real-Time Recognition of Blue Traffic Signs Designating Directions , 2010, Int. J. Intell. Transp. Syst. Res..

[38]  Xiaohui Liu,et al.  Real-time traffic sign recognition from video by class-specific discriminative features , 2010, Pattern Recognit..

[39]  Sancho Salcedo-Sanz,et al.  A decision support system for the automatic management of keep-clear signs based on support vector machines and geographic information systems , 2010, Expert Syst. Appl..

[40]  Luc Van Gool,et al.  Multi-view traffic sign detection, recognition, and 3D localisation , 2014, 2009 Workshop on Applications of Computer Vision (WACV).

[41]  Reinhard Klette,et al.  General traffic sign recognition by feature matching , 2009, 2009 24th International Conference Image and Vision Computing New Zealand.

[42]  Matti Pietikäinen,et al.  Rotation Invariant Image Description with Local Binary Pattern Histogram Fourier Features , 2009, SCIA.

[43]  Wen-Jia Kuo,et al.  Two-Stage Road Sign Detection and Recognition , 2007, 2007 IEEE International Conference on Multimedia and Expo.

[44]  C. Beleznai,et al.  Road Sign Detection from Edge Orientation Histograms , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[45]  A. Herbin,et al.  Robust on-vehicle real-time visual detection of American and European speed limit signs, with a modular Traffic Signs Recognition system , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[46]  Paulo Lobato Correia,et al.  Automatic Detection and Classification of Traffic Signs , 2007, Eighth International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS '07).

[47]  Francisco López-Ferreras,et al.  Road-Sign Detection and Recognition Based on Support Vector Machines , 2007, IEEE Transactions on Intelligent Transportation Systems.

[48]  Xiaohong W. Gao,et al.  Recognition of traffic signs based on their colour and shape features extracted using human vision models , 2006, J. Vis. Commun. Image Represent..

[49]  Alexander Zelinsky,et al.  Fast Radial Symmetry for Detecting Points of Interest , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[50]  Yoshiaki Shirai,et al.  An active vision system for real-time traffic sign recognition , 2000, ITSC2000. 2000 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.00TH8493).

[51]  Dariu Gavrila,et al.  Multi-feature hierarchical template matching using distance transforms , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[52]  Luis Moreno,et al.  Road traffic sign detection and classification , 1997, IEEE Trans. Ind. Electron..