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http://dx.doi.org/10.7840/kics.2015.40.1.152

Smart Camera Technology to Support High Speed Video Processing in Vehicular Network  

Son, Sanghyun (Pusan National University Dept. of Electrical and Computer Engineering)
Kim, Taewook (Pusan National University Dept. of Electrical and Computer Engineering)
Jeon, Yongsu (Pusan National University Dept. of Electrical and Computer Engineering)
Baek, Yunju (Pusan National University Dept. of Electrical and Computer Engineering)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.40, no.1, 2015 , pp. 152-164 More about this Journal
Abstract
A rapid development of semiconductors, sensors and mobile network technologies has enable that the embedded device includes high sensitivity sensors, wireless communication modules and a video processing module for vehicular environment, and many researchers have been actively studying the smart car technology combined on the high performance embedded devices. The vehicle is increased as the development of society, and the risk of accidents is increasing gradually. Thus, the advanced driver assistance system providing the vehicular status and the surrounding environment of the vehicle to the driver using various sensor data is actively studied. In this paper, we design and implement the smart vehicular camera device providing the V2X communication and gathering environment information. And we studied the method to create the metadata from a received video data and sensor data using video analysis algorithm. In addition, we invent S-ROI, D-ROI methods that set a region of interest in a video frame to improve calculation performance. We performed the performance evaluation for two ROI methods. As the result, we confirmed the video processing speed that S-ROI is 3.0 times and D-ROI is 4.8 times better than a full frame analysis.
Keywords
smart vehicular camera; video processing; vehicular network; ADAS; ROI;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 H. Seo, J. Jung, and S. Lee, "Scenario and network performance evaluation for a do not pass warning service based on vehicle-tovehicle communications," J. KICS, vol. 38C, no. 03, pp. 227-232, Mar. 2013.   과학기술학회마을   DOI   ScienceOn
2 S. Gil and G.-H. Kim, "Vision-based vehicle detection and tracking using online learning," J. KICS, vol. 39A, no. 01, pp. 1-11, Jan. 2014.   과학기술학회마을   DOI   ScienceOn
3 Mobileye, Retrived Sept. 30, 2014, from http://www.mobileye.com
4 IEEE Std 802.11p, IEEE Standard for information technology-telecommunications and information exchange between systemslocal and metropolitan area networks-specific requirements, Part 11, Amendent 6: Wireless Access in Vehicular Environments, 2010.
5 IEEE Std 1609.3, IEEE Standard for Wireless Access in Vehicular Environments(WAVE) -Networking Services, 1-144, 2010.
6 IEEE Std 1609.4, IEEE Standard for Wireless Access in Vehicular Environments(WAVE) -Multi-channel operation, 1-90, 2010.
7 N. Dalai and B. Triggs, "Histograms of oriented gradients for human detection," IEEE Comput. Soc. Conf. Comput. Vision and Pattern Recognition (CVPR 2005), vol. 1, pp. 886-893, San Diego, CA, USA, Jun. 2005.
8 D. Geronimo, A. M. Lopez, A. D. Sappa, and T. Graf, "Survey of pedestrian detection for advanced driver assistance systems," IEEE Trans. Pattern Anal. Machine Intell., vol. 32, no. 7, pp. 1239-1258, 2010.   DOI   ScienceOn
9 H. Hartenstein and K. P. Laberteaux, "A Tutorial Survey on Vehicular Ad Hoc Networks," IEEE Commun. Mag., pp. 164-171, 2008.
10 C. Sommer and F. Dressler, "The DYMO routing protocol in VANET scenarios," IEEE Veh. Technol. Conf. (VTC-2007), pp. 16-20, Baltimore, MD, Sept.-Oct. 2007.
11 Y.-S. Chen, Y.-W. Lin, and S.-L. Lee, "A mobicast routing protocol in vehicular ad-hoc networks," in Proc. ACM/Springer Mob. Netw. Appl., vol. 15, no. 1, pp. 20-35, Feb. 2010.   DOI
12 V. Namboodiri and L. Gao, "Prediction-based routing for vehicular ad hoc networks," IEEE Trans. Veh. Technol., vol. 56, no. 4, pp. 2332-2345, Jul. 2007.   DOI   ScienceOn
13 M. Al-Rabayah and R. Malaney, "A new scalable hybrid routing protocol for VANETs," IEEE Trans. Veh. Technol., vol. 61, no. 6, pp. 2625-2635, 2012.   DOI   ScienceOn
14 J. Jeong, S. Guo, Y. Gu, T. He, and D. H. C. Du, "Trajectory-based statistical forwarding for multihop infrastructure-to-vehicle data delivery," IEEE Trans. Mob. Comput., vol. 11, no. 10, pp. 1523-1537, 2012.   DOI   ScienceOn
15 S. Cho and S. Kim, "Routing algorithm of VANET for an efficient path management in urban intersections," J. KICS, vol. 38A, no. 12, pp. 1054-1060, Dec. 2013.   과학기술학회마을   DOI   ScienceOn
16 D. Borsetti and J. Gozalvez, "Infrastructureassisted geo-routing for cooperative vehicular networks," in Proc. IEEE Veh. Netw. Conf., pp. 255-262, Jersey City, NJ, Dec. 2010.
17 OpenCV, Retrieved Sept. 30, 2014, from http://opencv.org
18 Linuxwireless, Retrieved Nov. 13, 2014, from http://wireless.kernel.org
19 ODROID-XU (HardKernel), Retrieved Nov. 13, 2014, from http://www.hardkernel.com/main/products/prdt_info.php?g_code=G137510300620
20 Wi-Fi Alliance, "Wi-Fi peer-to-peer(P2P) technical specification 1.1,"
21 B. Kim, S. Son, T. Kim, and Y. Baek, "Design and implementation of a vehicular network platform using Wi-Fi P2P," in Proc. KICS Int. Conf. Commun. 2010 (KICS ICC 2014), pp. 89-90, Jeju Island, Korea, Jun. 2014.
22 Exynos 4412 Prime Quad Core CPU Module, Retrieved Nov. 13, 2014, from http://www.hardkernel.com/main/products/prdt_info.php?g_code=G135270682824
23 Arndale Octa, Retrieved Nov. 13, 2014, from http://www.arndaleboard.org/wiki/index.php/Main_Page