Road sign identification application using image processing and augmented reality

Authors

  • Karunathilaka A.K.R.P. Faculty of computing, Sri Lanka Institute of Information Technology Metro Campus, Colombo 03, Sri Lanka
  • Jayasundara MACP Faculty of computing, Sri Lanka Institute of Information Technology Metro Campus, Colombo 03, Sri Lanka
  • Rasanjana DN Faculty of computing, Sri Lanka Institute of Information Technology, Metro Campus, Colombo 03, Sri Lanka
  • Senanayake SMR Faculty of computing, Sri Lanka Institute of Information Technology, Metro Campus, Colombo 03, Sri Lanka
  • Vithana VN Faculty of computing, Sri Lanka Institute of Information Technology Metro Campus, Colombo 03, Sri Lanka

Keywords:

Road Signs, Image Processing, Android Mobile Application, Augmented Reality, Mobile phone camera

Abstract

Now days, Sri Lanka is a rapidly developing country in the world. With this regard, roads are developing in every area. Every year, many new vehicles are entering to the roads. People use roads for their transport requirements. The road signs boards are helped to control road traffic and accident. But today, road accidents are increasing rapidly. Most people are getting injured. Some people lost their life due to accidents. So many properties are damaged. Therefore, lives, properties, time and money are lost. A main reason of road accidents is a lack of knowledge about road signs and rules. To overcome this problem, “the developed team” has developed a learning Android Mobile Application. It is named “Mansalakuna”. This Mobile Application can be identified road signs using mobile phone camera. The road signs which focused by mobile phone camera, can be identified using the Image Processing Technology. Then, the mobile application is delivered full information about the road signs on user’s mobile phone screen for use the Augmented Reality Technology. The results can be delivered instantly to the user with specific rules, laws and regulations related for that road sign. Otherwise “Mansalakuna” mobile application can be used for learning mobile applications for passengers and drivers on the way. Countries like Sri Lanka, there are no complete above mention mobile applications package for the road users. Therefore, this Android Mobile Application is given a considerable support to users. It is a start to digital era to the road users.

References

Loy. G, Barnes. N, “Fast shape-based road sign detection for a driver assistance system”, 2004. [online]. Available:http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1389331 [Accessed: Jan.28, 2015].

G. Piccioli, E. De Micheli, P. Parodi, M. Campani, “Robust method for road sign detection and recognition”, 1995.[online]. Available:http://www.sciencedirect.com/science/article/pii/0262885695010572 [Accessed: Jan.28, 2015].

P. Paclı́k, J. Novovičová, P. Pudil, P. Somol “Road sign classification using Laplace kernel classifier”, 2003. [online]. Available:http://www.sciencedirect.com/science/article/pii/S0167865500000787 [Accessed: Jan.28, 2015].

S. H. Hsu, C. L. Huang, “Road sign detection and recognition using matching pursuit method”, 2000. [online]. Available:http://www.sciencedirect.com/science/article/pii/S0262885600000500 [Accessed: Jan.28, 2015].

C.Y. Fang, C.S. Fuh, P.S. Yen, S. Cherng, S.W. Chen, “An automatic road sign recognition system based on a computational model of human recognition processing”, 2004. [online]. Available:http://www.sciencedirect.com/science/article/pii/S1077314204000761 [Accessed: Jan.28, 2015].

Miura J, Kanda T, Shirai Y., “An active vision system for real-time traffic sign recognition”, 2000.[online]. Available:http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=881017&url=http%3A%2F%2Fieeexplore.ieee.org %2Fxpls%2Fabs_all.jsp%3Farnumber%3 D881017 [Accessed: Feb.26, 2015].

Gavrila D.M., Philomin V., “Real-time object detection for “smart” vehicles”, 1999. [online]. Available:http://ieeexplore.ieee.org xpl/articleDetails.jsp?tp=&arnumber=791202&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D791202 [Accessed: Feb.26, 2015].

L. W. Tsai, J. W. Hsieh, C. H. Chuang, Y. J. Tseng, K.C. Fan, C. C. Lee “Road sign detection using eigen colour”, 2008. [online]. Available:http://digital-library.theiet.org/content/journals/10.1049/iet-cvi_20070058 [Accessed: Feb. 26, 2015].

Mussi L., Cagnoni S., Daolio F.,“GPU-Based Road Sign Detection Using Particle Swarm Optimization”, 2009. [online]. Available:http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=5364748&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5364748 [Accessed: Feb.27, 2015].

Hidehiko Akatsuka, Shinichiro Imai, “Road Signposts Recognition System”, 1987. [online]. Available: http://papers.sae.org/870239/

[Accessed: Feb.27, 2015].

Traffic Police – Road traffic accidents, [online]. Available: http://www.police.lk/index.php/traffic-police/56 [Accessed: Feb.28, 2015].

Steven Feiner, Blair Mac Intyre, Tobias Höllerer, Anthony Webster, “A touring machine: Prototyping 3D mobile augmented reality systems for exploring the urban environment”, 1997 [online].Available: http://link.springer.com/article/10.1007/BF01682023 [Accessed: Apr.25, 2015].

Ronald Azuma, “Tracking requirements for augmented reality”, 1993 [online].Available: http://dl.acm.org/citation.cfm?id=159581

[Accessed: Apr.25, 2015].

Steven Feiner, Tachio Terauchi, Gus Rashid, Drexel Hallaway, “Exploring MARS: developing indoor and outdoor user interfaces to a mobile augmented reality system”, 1999 [online]. Available:http://www.sciencedirect.com/science/article/pii/S0097849399001X [Accessed: Apr.26, 2015].

Seungjun Kim, Anind K. Day, “Exploring Simulated augmented reality windshield display as a cognitive mapping aid for elder driver navigation”, 2009 [online]. Available: http://dl.acm.org/citation.cfm?id=1518724 [Accessed: Apr.26, 2015].

Paul Fockler, Thomas Zeidler, Benjamin Brombach, Erich Bruns, Oliver Bimber, “Phone Guide: museum guidance supported by on-device object recognition on mobile phones”, 2005 [online]. Available:http://dl.acm.org/citation.cfm?id=1149490 [Accessed: Apr.27, 2015].

Ricard Sala and Santi Ristol, “A Survey of Mobile Augmented Reality Applications”, [online]. Available:http://atos.net/content dam/global/ascent-whitepapers/ascent-whitepaper-mobile-augmented-reality.pdf [Accessed: jul. 02, 2015].

George Papagiannakis, Gurminder Singh, Nadia Magnenat, “A survey of mobile and wireless technologies for augmented reality systems”, [online]. Available: http://www.miralab.ch/repository/papers/486.pdf. [Accessed: Jul. 02, 2015].

Downloads

Published

2024-02-26

How to Cite

Karunathilaka, A., Jayasundara, M., Rasanjana, D., Senanayake, S., & Vithana, V. (2024). Road sign identification application using image processing and augmented reality. COMPUSOFT: An International Journal of Advanced Computer Technology, 4(11), 2020–2026. Retrieved from https://ijact.in/index.php/j/article/view/354

Issue

Section

Original Research Article

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.