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系統識別號 U0026-2108201413124600
論文名稱(中文) 基於有效視覺區域之分群與可適性影片機制之即時道路監控服務
論文名稱(英文) An Effective-Vision-Area (EVA)-based Clustering Scheme with the Adaptive Video Mechanism for Live Road Surveillance
校院名稱 成功大學
系所名稱(中) 資訊工程學系
系所名稱(英) Institute of Computer Science and Information Engineering
學年度 102
學期 2
出版年 103
研究生(中文) 王漢霖
研究生(英文) Han-Lin Wang
學號 P76014046
學位類別 碩士
語文別 英文
論文頁數 48頁
口試委員 指導教授-黃崇明
口試委員-張瑞雄
口試委員-鄧德雋
口試委員-賴源正
口試委員-藍崑展
中文關鍵字 道路監控  分群  車輛隨意網路  安全應用  可調式影像編碼 
英文關鍵字 Road Surveillance  Clustering  Vehicular Ad hoc Network (VANET)  Safety Applications  Scalable Video Coding (SVC) 
學科別分類
中文摘要 即時道路監控影像串流是一種新類型的安全資料,這些資料可以透過車載網路傳送給其他終端。影像串流服務需要耗費相對大量的無線網路頻寬,因此許多車輛在同一時間內使用同一無線網路(wireless network),將會造成無線網路壅塞(congestion)。分群技術透過限制傳送即時道路監控影像的車輛數量可以有效率的減輕網路壅塞的問題。可調式影像串流技術透過監控無線網路狀況去動態調整影像串流的輸出位元率(bit rate),同樣也是解決上述問題的方法之一。
基於車內攝影機的有效視覺區域,在這篇論文內,我們提出基於有效視覺區域之分群與可適性影片機制之即時道路監控服務控制機制(Effective-Vision-Area-based Clustering algorithm with the Adaptive Video streaming technique)。基於有效視覺區域之分群演算法(Effective-Vision-Area-base Clustering)能夠將道路上的車輛做分群,駕駛者為了獲得即時道路監控服務所提供的額外視野,駕駛者可以加入其中合適的分群中並接收來自其分群領導者的即時道路監控資訊。接著我們根據監控的IEEE 802.11p的無線網路的使用狀況去動態的調整分群領導者所傳送的即時路況影像位元率(bit rate),在網路壅塞(network congestion)的情況下調低即時路況影像的位元率(bit rate)。在這篇論文中,我們比較了基於有效視覺區域之分群與可適性影片機制之即時道路監控服務控制機制(Effective-Vision-Area-based Clustering algorithm with the Adaptive Video streaming technique)與其他不同的即時道路監控服務提供者的挑選機制來呈現我們提出方法的成效。
英文摘要 Live Road Surveillance (LRS) video streaming is a new type of safety data that can be transmitted in Vehicular Ad Hoc Networks (VANETs). Video streaming is a high-bandwidth-demanded service and causes network congestion if there are many vehicles that stream video in the wireless network at the same time. Clustering is an efficient technique to relieve network congestion because it can reduce the number of vehicles to transmit data. The adaptive video streaming technology can also relieve the aforementioned problems based on monitoring the wireless network’s utilization situation. Based on the effective-vision of the cameras in vehicles, an Effective-Vision–Area-based Clustering algorithm with the Adaptive Video streaming technique (EVAC-AV) for LRS service is proposed in this thesis. EVAC can construct clusters such that a driver X can join a suitable cluster to get the LRS service from the appropriate vehicle ahead of X to have additional vision. Additionally, based on the IEEE 802.11p wireless network’s utilization condition, the adaptive video streaming technique is adopted to have adaptive LRS video quality in EVAC-AV. In this thesis, we compare the proposed EVAC-AV control scheme for LRS service with other clustering algorithms and other LRS service schemes that do not adopt the clustering mechanism in term of different performance metrics to show the effectiveness of the proposed work.
論文目次 Chapter 1 Introduction 1
Chapter 2 Related Works 6
Chapter 3 The Derivation of the Live Road Surveillance Range 9
3.1. Camera Model 10
3.2. The deviation of the EVA value 12
Chapter 4 The Effective-Vision–Area-based Clustering (EVAC) Algorithm 14
4.1. Thresholds in EVAC algorithm 15
4.2. Details of the Effective-Vision–Area-based Clustering (EVAC) algorithm 16
Chapter 5 Adaptive Video Streaming mechanism for LRS service 22
Chapter 6 Performance Evaluations 27
6.1. Effective-Vision Area Clustering (EVAC) 27
6.2. Video quality of the LRS service 35
Chapter 7 Conclusion and Future Work 44
Bibliography 46

參考文獻 [1] Fraunhofer http://www.hhi.fraunhofer.de/de/kompetenzfelder/image-processing/research-groups/image-video-coding/svc-extension-of-h264avc.html
[2] Schwarz, H.; Wien, M., "The Scalable Video Coding Extension of the H.264/AVC Standard [Standards in a Nutshell]," the IEEE Signal Processing Magazine, vol.25, no.2, pp.135,141, March 2008.
[3] Chong Han; Dianati, M.; Tafazolli, R.; Kernchen, R., "Throughput Analysis of the IEEE 802.11p Enhanced Distributed Channel Access Function in Vehicular Environment," Proceedings of the IEEE 72th Vehicular Technology Conference (VTC), pp.1,5, Sept. 2010.
[4] Vinel, A., Belyaev, E., Egiazarian, K., and Koucheryavy, Y., "An Overtaking Assistance System Based on Joint Beaconing and Real-Time Video Transmission," IEEE Transactions on Vehicular Technology, vol. 61, no. 5, pp.2319,2329, Jun 2012.
[5] Gomes, P.; Olaverri-Monreal, C.; Ferreira, M., "Making Vehicles Transparent Through V2V Video Streaming," IEEE Transactions on Intelligent Transportation Systems, vol.13, no.2, pp.930,938, June 2012.
[6] Baker, D.J.; Ephremides, Anthony, "The Architectural Organization of a Mobile Radio Network via a Distributed Algorithm," IEEE Transactions on Communications, vol.29, no.11, pp.1694,1701, Nov 1981.
[7] Rawshdeh, Z.Y. and Mahmud, S.M., "Toward Strongley Connected Clustering Structure in Vehicular Ad Hoc Networks," Proceedings of the 70th IEEE Vehicular Technology Conference Fall (VTC). pp.1,5, Sept 2009.
[8] Wei Fan, Yan Shi, Shanzhi Chen, and Longhao Zou, "A mobility metrics based dynamic clustering algorithm for VANETs," Proceedings of IET International Conference on Communication Technology and Application (ICCTA). pp.752,756, Oct 2011.
[9] Fan Bai, Sadagopan, N., and Helmy, A., "IMPORTANT: a framework to systematically analyze the Impact of Mobility on Performance of Routing Protocols for Adhoc Networks," Proceedings of the 22th Annual Joint Conference of the IEEE Computer and Communications (INFOCOM). vol. 2, no., pp.825,835, April 2003.
[10] Puskorius, G.V. and Feldkamp, L.A., "Camera calibration methodology based on a linear perspective transformation error model," Proceedings of the IEEE International Conference on Robotics and Automation. pp.1858,1860 vol. 3, 24-29 Apr 1988.
[11] Bianchi, G., "Performance analysis of the IEEE 802.11 distributed coordination function," IEEE Journal on Selected Areas in Communications, vol.18, no.3, pp.535,547, March 2000.
[12] Schwarz, H.; Marpe, D.; Wiegand, T., "Overview of the Scalable Video Coding Extension of the H.264/AVC Standard," IEEE Transactions on Circuits and Systems for Video Technology, vol.17, no.9, pp.1103,1120, Sept. 2007.
[13] Chung-Ming Huang, Chia-Ching Yang, Hsiao-Yu Lin, "A Bandwidth Aggregation Scheme for Member-Based Cooperative Networking over the Hybrid VANET," Proceedings of the 17th IEEE International Conference on Parallel and Distributed Systems (ICPADS), pp.436,443, Dec. 2011
[14] Unanue, Iraide et al., "A Tutorial on H.264/SVC Scalable Video Coding and its Tradeoff between Quality, Coding Efficiency and Performance," www.intechopen.com, Computer and Information Science, Computer Graphics, Recent Advances on Video Coding, Book Published, Jul. 5, 2011 under CC BY-NC-SA 3.0 License, 24 pages.
[15] C. H. Ke, "myEvalSVC: an Integrated Simulation Framework for Evaluation of H.264/SVC Transmission ", KSII Transactions on Internet and Information Systems, vol. 6, no. 1, pp. 378-393, Jan. 2012 (SCI).
[16] B. E. Bilgin and V. C. Gungor, "Performance Comparison of IEEE 802.11p and IEEE 802.11b for Vehicle-to-Vehicle Communications in Highway, Rural, and Urban Areas," International Journal of Vehicular Technology, vol. 2013, 10 pages, 2013.
[17] Khan, J., Niar, S., Menhaj, A., Elhillali, Y., and Dekeyser, J.L., "An MPSoC architecture for the Multiple Target Tracking application in driver assistant system," Proceedings of International Conference on Application-Specific Systems, Architectures and Processors (ASAP). pp.126,131, July 2008.
[18] Yousefi, S., Mousavi, M.S., and Fathy, M., "Vehicular Ad Hoc Networks (VANETs): Challenges and Perspectives," Proceedings of the 6th International Conference on ITS Telecommunications. pp.761,766, June 2006.
[19] The ns-2. http://www.isi.edu/nsnam/ns/.
[20] SUMO http://sumo.sourceforge.net/.
[21] Traffic flow http://en.wikipedia.org/wiki/Traffic_flow/.
[22] Taiwan Area National Freeway Bureau, MOTC http://www.freeway.gov.tw/Publish.aspx?cnid=516&p=2230
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