Publication 2019 DECEMBER VOL 1 Issue 1

MACHINE LEARNING ALGORITHM FOR SPEED LIMIT DETECTION FROM TRAFFIC SIGN BOARD

Akshitha A S, Aneesh R P  

 

Abstract - — Automatic recognition of road traffic signs is a very interesting and significant problem. It has important practical applications such as the maintenance and rehabilitation of transportation infrastructure, and advanced driver assistance system. For example, the detection, recognition, and automatic identification of traffic signs allow one to collect and analyze information to evaluate the state of transportation infrastructure. Such automatic systems make them ideal for car drivers by informing them about potential dangers especially at high car speed since the driver's field of view decreases from 100° to 30° when the car's speed is increased from 40 km/h to 130 km/h. Thus the speed limit detection is important. In this project we use image processing to identify the speed limit boards and inform the driver about the speed limit. This system continuously acquires the image of signal boards and analyses the image to find the allowed speed limit by comparing the obtained images with a predefined base and produces the output through the speakers alerting the driver..

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Keywords –

Driver’s assistance, Speed-limit road sign, Real time sign detection, Hough transform, SSIM.


 

REFERENCES

 

      [1] H. Wr, N. Almelu and S. Nivethitha, "Mining Road Accident Data Based on Diverted Attention of Drivers," 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 2018, pp. 245-249.
      [2] Ayesha Waqar Mir, Hafsah Ahmed and Asim Altaf Shah “Automated Speed Limit Identification for Efficient Driving System” in International Conference on Communication, Computing and Digital Systems (C code), 2017
      [3] A. Ruta, Y.Li, X.Liu, "Real-time traffic sign recognition from video by class-specific discriminative features," Pattern Recognition, pp. 416-430, 2010.
      [4] J.Suthakorn, A.Lorsakul, "Traffic sign recognition using neural network on OpenCV: Toward intelligent vehicle/driver assistance system," Journal of Intelligent Service Robotics, no. 2007, p. 335.
      [5] G. Loy, N. Barnes, "Fast shape-based road sign detection for a driver assistance system," in Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems page 70-75, 2004.
      [6] T.Breckon, M.Eichner, "Integrated speed limit detection and recognition from real-time video," in IEEE Intelligent Vehicles Symposium, 2008.
      [7] J. Torresen, J. Bakke, and L. Sekanina, "Efficient Recognition of Speed Limit Signs," presented at the 2004 IEEE Intelligent Transportation Systems Conference, Washington, USA, 2004.
      [8] J. Wu and Y. Tsai, "Real-time speed limit sign recognition based on locally adaptive thresholding and depth-first-search," Photogrammetric Engineering & Remote Sensing, vol. 71, pp. 405-414, 2005.
      [9] W. Liu and K. Maruya, "Detection and Recognition of Traffic Signs in Adverse Conditions," in 2009 Intelligent Vehicle Symposium, 2009, pp. 335-340.
      [10] R.Timofte, K.Zimmer mann,L.Van, "Multiview traffic sign detection, recognition and 3d localization," WACV, 2009.

 

Authors :

Akshitha A S

Regional center IHRD, Thiruvananthapuram

 

Aneesh.R.P

Regional center IHRD, Thiruvananthapuram

  


CITATION FORMAT

Akshitha A S, Aneesh R P, " Machine Learning Algorithm For Speed Limit Detection From Traffic Sign Board ", International Journal of Innovations and Implementations in Engineering(ISSN 2454- 3489) , December 2019 vol 1

 


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