In-Vehicle AR-HUD system to provide driving-Safety information

ETRI Journal

Volumn 35, Issue 6, 2013, Pages 1038-1047

  Park, Hye Sun ^a   Park, Min Woo ^b   Won, Kwang Hee ^b   Kim, Kyong Ho ^a   Jung, Soon Ki ^b  

^a Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

^b Kyungpook National University   (South Korea)

Author keywords

AR; Augmented reality; Driving safety information; Head up display; Histograms of oriented gradients; HOG; HUD; In vehicle intelligent information system; Stereo camera; Support vector machine; SVM; Vehicle and pedestrian recognition

Indexed keywords

DRIVING-SAFETY INFORMATION; HEAD UP DISPLAYS; HISTOGRAMS OF ORIENTED GRADIENTS; HOG; HUD; INTELLIGENT INFORMATION SYSTEMS; PEDESTRIAN RECOGNITION; STEREO CAMERAS; SVM;

ARGON; AUGMENTED REALITY; COMPUTER VISION; OBJECT RECOGNITION; OBSTACLE DETECTORS; SECURITY OF DATA; SUPPORT VECTOR MACHINES; VEHICLES;

PEDESTRIAN SAFETY;

EID: 84891686689     PISSN: 12256463     EISSN: 22337326     Source Type: Journal    
DOI: 10.4218/etrij.13.2013.0041     Document Type: Article

References (41)

1. S.H. Lee, J. Choi, and J. Park, "Interactive e-Learning System Using Pattern Recognition and Augmented Reality," IEEE Trans. Consum. Electron., vol. 55, no. 2, May 2009, pp. 883-890.
2. B. Choi et al., "A Metadata Design for Augmented Broadcasting and Testbed System Implementation," ETRI J., vol. 35, no. 2, Apr. 2013, pp. 292-300.
3. N. Parimal et al., "Application of Sensors in Augmented Reality Based Interactive Learning Environments," IEEE Int. Conf. ICST
4. M.A. Oikawa et al., "AR-Based Video-Mediated Communication: A Social Presence Enhancing Experience," 14th Int. Symp. VR, May. 2012, pp. 125-130.
5. Y.M. Aung and A. Al-Jumaily, "AR Based Upper Limb Rehabilitation System," IEEE Int. Conf. BioRob., June 2012, pp. 213-218.
6. T. Zysk, J. Luce, and J. Cunningham, "Augmented Reality for Precision Navigation," GPS World Mag., vol. 23, issue 6, June 2012, pp. 47-51.
7. H. Chen et al., "Application of Augmented Reality in Engineering Graphics Education," IEEE Int. Symp. ITME 2, art. no. 6132125, Dec. 2011, pp. 362-365.
8. Y.C. Cheng et al., "AR-Based Positioning for Mobile Devices," Int. Conf. Parallel Process., no. 6047276, Sept. 2011, pp. 63-70.
9. J.J. Mccorvey, "Using Augmented Reality to Market Your Business," Inc., Apr. 2010. http://www.inc.com/magazine/20100401/using- augmented-reality-to-market-your-business.html
10. Siemens, "From Sedans to Compact Cars - One HUD Fits All," press photo, reference no. 200605004, Siemens AG, Munich, Germany, 2006. http://www.siemens.com/press/en/presspicture/?press=/en/pp-sv/2006/ sv200605004-(hud)-1376467.htm
11. J. Lincoln, D. Lincoln, and M. Carmean, How a Laser HUD Can Make Driving Safer, MicroVision Program Brief, MicroVision, Inc., Mar. 2007.
12. R. Parasuraman, R. Molloy, and I.L. Singh, "Performance Consequences of Automation-Induced Complacency," Int. J. Aviation Psychology, vol. 3, no. 1, 1993, pp. 1-23.
13. NHTSA, Measuring Distraction Potential of Operating In-Vehicle Devices, no. DOT-HS-811-231, Dec. 2008.
14. S.C. Lee, "Psychological Effects on Aged Driver's Traffic Accidents," Korea J. Psychological Soc. Issues, vol. 12, 2006, pp. 149-167.
15. Y. Zhang, Y. Owechko, and J. Zhang, "Learning-Based Driver Workload Estimation," Comput. Intell. Automobile Appl., Ser. Studies Comput. Intell., vol. 132, 2008, pp. 1-24.
16. E.R. Michael, J.G. Leo, and J.W. Nicholas, "Effects of Naturalistic Cell Phone Conversations on Driving Performance," Int. J. Safety Research, vol. 35, 2004, pp. 453-464.
17. E. Adella, A. Varhely, and M. Fontana, "The Effects of a Driver Assistance System for Safe Speed and Safe Distance: A Real-Life Field Study," Int. J. Transp. Research Part C 19, 2011, pp. 145- 155.
18. E. Johan, J. Emma, and O. Joakim, "Effects of Visual and Cognitive Load in Real and Simulated Motorway Driving," Int. J. Transp. Research Part F, vol. 8, 2005, pp. 97-120.
19. R. Venkatasawmy, The Digitization of Cinematic Visual Effects: Hollywood's Coming of Age, UK: Press Lexington Books, 2013.
20. A.S. Cohen and R. Hirsig, Feed Forward Programming of Car Driver's Eye Movement Behavior: A System Theoretical Approach, final technical report, vol. 2, 1980, pp. 1-223.
21. V. Charissis and S. Papanastasiou, "Human-Machine Collaboration through Vehicle Head Up Display Interface," Int. J. Cognition, Technol., Work, vol. 12, no. 1, 2010, pp. 41-50.
22. Y.C. Shinko, D. Anup, and M.T. Mohan, "Active Heads-up Display Based Speed Compliance Aid for Driver Assistance: A Novel Interface and Comparative Experimental Studies," IEEE Int. Symp. IV, 2007, pp. 594-599.
23. A. Sato et al., "Visual Navigation System on Windshield Head-Up Display," Proc. 13th World Congress ITS, 2006, pp. 167-175.
24. H. Watanabe et al., "The Effect of HUD Warning Location on Driver Responses," Proc. 6th World Congress ITS, 1999, pp. 1-10.
25. C. Jablonski, "An Augmented Reality Windshield from GM," Mar. 2010. http://www.zdnet.com/blog/emergingtech/anaugmented-reality-windshield- from-gm/2164
26. V. Poortere et al., "Efficient Pedestrian Detection: A Test Case for SVM Based Categorization," Proc. ICVW, Sept. 2002, pp. 19-20.
27. D.M. Gavrila and V. Philomin, "Real-Time Object Detection for Smart Vehicles," IEEE Int. Conf. CVPR, 1999, pp. 87-93.
28. S. Hermann and R. Klette, "Iterative Semi-Global Matching for Robust Driver Assistance Systems," Int. Conf. ACCV, vol. 7726, 2012, pp. 456-478.
29. H. Hattori et al., "Stereo-Based Pedestrian Detection Using Multiple Patterns," Int. Conf. BMVC, 2009, pp. 1-10.
30. M. Bajracharya et al., "A Fast Stereo-Based System for Detecting and Tracking Pedestrians from a Moving Vehicle," Int. J. Robotics Research, vol. 28, 2009, pp. 1466-1485.
31. A. Shashua, Y. Gdalyahu, and G. Hayun, "Pedestrian Detection for Driving Assistance Systems: Single-Frame Classification and System Level Performance," IEEE Int. Symp. 4, 2004, pp. 1-6.
32. S. Munder and D.M. Gavrila, "An Experimental Study on Pedestrian Classification," IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 11, 2006, pp. 1863-1868.
33. Australian Transport Council, The National Road Safety Strategy 2011-2020, 2011, pp. 1-108.
34. K.H. Won and S.K. Jung, "Billboard Sweep Stereo for Obstacle Detection in Road Scenes," Int. J. IET, vol. 48, issue 24, Nov. 2012, pp. 1528 -1530.
35. M.W. Park, K.H. Won, and S.K. Jung, "Vehicle Detection and Tracking Using Billboard Sweep Stereo Matching Algorithm," Korea J. KMMS, vol. 16, no. 6, 2013, pp. 764-781.
36. Z.H. Zhou and X. Geng, "Projection Functions for Eye Detection," Int. J. Pattern Recognition, vol. 37, no. 5, 2004, pp. 1049-1056.
37. C. Cortes and V. Vapnik, "Support-Vector Networks," Int. J. Mach. Learning, vol. 20, no. 3, 1995, pp. 273-297.
38. T. Joachims, "Making Large-Scale SVM Learning Practical," Advances in Kernel Methods - Support Vector Learning, B. Schölkopf, C. Burges, and A. Smola, Eds., Cambridge, MA: MIT Press, 1999.
39. K.A. Paul and H. Ayman, "A Comparative Analysis between Rigorous and Approximate Approaches for LiDAR System Calibration," Korea J. KSGPC, vol. 30, no. 6, 2012, pp. 593-605.
40. Wikipedia, Precision and recall. http://en.wikipedia.org/wiki/Precision- and-recall
41. Gamedev.net, Calculate framerate with GetTickCount function. http://www.gamedev.net/topic/621703-calculate-framerate-withgettickcount/