• 沒有找到結果。

嵌入式系統的運用相當普及,透過嵌入式系統平台的搭載,加上一可依賴的 演算法即可完成一項嵌入式產品的用途,除了可利用嵌入式系統的各項優點外,

還可增加使用者更多元的選擇。

針對行車安全上,本論文利用嵌入式系統平台將雙警示機制演算法實現,過 程中除了妥善利用嵌入式系統環境資源外,其開發流程也提供一移植設計範例供 作參考,可從中學習嵌入式系統開發的過程及困難解決方法。雖說最後實驗結果 無法完美達成雙警示機制應該有的成效,但仍有相當程度的可靠性,歸咎其原因 會發現在車道線偵測環節中是最花費時間,也是最需要時間偵測的,此部分牽涉 到嵌入式系統的軟硬體設計,除了演算法外,也包括輸入影像的正確性,嵌入式 平台的執行速度,如果能有效改善該環節的執行成效,會對於偏移警示機制成功 率有大幅度的提升。

透過嵌入式系統的尺寸小,能源消耗低及成本低的特性,能廣泛使用於各種 行車交通工具上,結合文中的空間警示機制和時間警示機制演算法,使得系統能 更有效率的運用在行車安全上,也為駕駛者提供一部可靠的行車安全裝置。

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參考文獻

[1] Agarwal, V., Murali, N.V., Chandramouli, C., “A Cost-Effective Ultrasonic Sensor-Based Driver-Assistance System for Congested Traffic Conditions,” IEEE Transactions on Intelligent Transportation Systems, Vol. 10, Issue. 3, pp. 486 - 498, 2009.

[2] Bertozzi, M., Bombini, L., Broggi, A., Cerri, P., Grisleri, P., Medici, P., Zani, P.,

“GOLD: A Framework for Developing Intelligent-Vehicle Vision Applications,”

IEEE Transactions on Intelligent Systems, Vol. 23, Issue. 1, pp. 69 - 71, 2008.

[3] Ogawa, G., Kise, K., Torii, T., Nagao, T., “Onboard Evolutionary Risk Recognition System for Automobiles—Toward the Risk Map System,” IEEE Transactions on Industrial Electronics, Vol. 54, Issue. 2, pp. 878 - 886, 2007.

[4] Tang-Hsien Chang, Chih-Sheng Hsu, Chieh Wang, Li-Kai Yang, “Onboard Measurement and Warning Module for Irregular Vehicle Behavior,” IEEE Transactions on Intelligent Transportation Systems, Vol. 9, Issue. 3, pp. 501 - 513, 2008.

[5] Hautiere, N., Labayrade, R., Aubert, D., “Real-time disparity contrast combination for onboard estimation of the visibility distance,” IEEE Transactions on Intelligent Transportation Systems, Vol. 7, Issue. 2, pp. 201 - 212, 2006.

[6] Gandhi, T., Trivedi, M.M., “Vehicle Surround Capture: Survey of Techniques and a Novel Omni-Video-Based Approach for Dynamic Panoramic Surround Maps,”

IEEE Transactions on Intelligent Transportation Systems, Vol. 7, Issue. 3, pp. 293 - 308, 2006.

[7] McCall, J.C., Trivedi, M.M., “Driver Behavior and Situation Aware Brake Assistance for Intelligent Vehicles,” Proceedings of the IEEE, Vol. 95, Issue. 2, pp.

374 - 387, 2007.

[8] Murphy-Chutorian, E., Doshi, A., Trivedi, M.M., “Head Pose Estimation for Driver Assistance Systems: A Robust Algorithm and Experimental Evaluation,” Intelligent Transportation Systems Conference, 2007. ITSC 2007. IEEE, pp. 709 - 714, 2007.

[9] Bergasa, L.M., Nuevo, J., “Real-time system for monitoring driver vigilance,”

Industrial Electronics, 2005. ISIE 2005. Proceedings of the IEEE International Symposium on, Vol. 3, pp. 1303 - 1308, 2005.

[10] Mohan Manubhai Trivedi, Tarak Gandhi, Joel McCall, “Looking-In and Looking-Out of a Vehicle: Computer-Vision-Based Enhanced Vehicle Safety,” IEEE Transactions on Intelligent Transportation Systems, Vol. 8, Issue. 1, pp. 108 - 120, 2007.

[11] Jin Wang, Schroedl, S., Mezger, K., Ortloff, R., Joos, A., Passegger, T., “Lane keeping based on location technology,” IEEE Transactions on Intelligent Transportation Systems, Vol. 6 ,Issue. 3, pp. 351 - 356, 2005.

[12] Toledo-Moreo, R., Betaille, D., Peyret, F., “Lane-Level Integrity Provision for Navigation and Map Matching With GNSS, Dead Reckoning, and Enhanced Maps,”

IEEE Transactions on Intelligent Transportation Systems, Vol. 11 ,Issue. 1, pp. 100 - 112, 2010.

[13] Thanh-Son Dao, Leung, K.Y.K., Clark, C.M., Huissoon, J.P., “Markov-Based Lane Positioning Using Intervehicle Communication,” IEEE Transactions on Intelligent Transportation Systems, Vol. 8 ,Issue. 4, pp. 641 - 650, 2007.

[14] Oh. Y.R., Yoon. J.S., Kim. H.K., Kim. M.B., Kim. S.R, “A voice-driven scene-mode recommendation service for portable digital imaging devices,” IEEE Transactions on Consumer Electronics, Vol. 55, N0. 4 , pp. 1739 – 1747, 2009.

[15] Ying Zhang1, Hannan Xiao, “Bluetooth-Based Sensor Networks for Remotely Monitoring the Physiological Signals of a Patient,” IEEE Transactions on Information Technology in Biomedicine, Vol. 13 , No. 6, pp. 1040 – 1048, 2009.

[16] Ozmen. A., Dogan. E., “Design of a Portable E-Nose Instrument for Gas Classifications,” IEEE Transactions on Instrumentation and Measurement, Vol. 58, No. 10, pp.3609 – 3618, 2009.

[17] Diaz Alonso. J., Ros Vidal. E., Rotter. A., Muhlenberg. M., “Lane-Change Decision Aid System Based on Motion-Driven Vehicle Tracking,” IEEE Transactions on Vehicular Technology, Vol. 57, No. 5, pp. 2736 – 2746, 2008.

[18] Zhifeng Pang, Huili Yang, Guilong Gao, “An Embedded Image Processing System Based on WinCE,” 2009 Second International Symposium on Computational Intelligence and Design, Vol. 1, pp. 355 - 358, 2009.

[19] Dong Yibing, Wang Lang, “Design of Embedded Cropland Data Acquisition and Processing System Based On Xscale and WinCE,” 2009 International Forum on Information Technology and Applications, Vol. 1, pp. 700 - 703, 2009.

73

[20] Kaihua Xu, Puyao Qiao, Yuhua Liu, Jian Cheng, “Implementation of Image Processor in Handset,” 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application, Vol. 2, pp. 705 - 709, 2008.

[21] Doshi, A., Trivedi, M., “A comparative exploration of eye gaze and head motion cues for lane change intent prediction,” Intelligent Vehicles Symposium, 2008 IEEE, pp. 49 - 54, 2008.

[22] Itoh, M., Yoshimura, K., Inagaki, T., “Inference of large truck driver's intent to change lanes to pass a lead vehicle via analyses of driver's eye glance behavior in the real world,” SICE, 2007 Annual Conference, pp. 2385 - 2389, 2007.

[23] McCall, J.C., Wipf, D.P., Trivedi, M.M., Rao, B.D., “Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning,” IEEE Transactions on Intelligent Transportation Systems, Vol. 8, Issue. 3, pp. 431 - 440, 2007.

[24] Doshi, A., Trivedi, M.M., “On the Roles of Eye Gaze and Head Dynamics in Predicting Driver's Intent to Change Lanes,” IEEE Transactions on Intelligent Transportation Systems, Vol. 10, Issue. 3, pp. 453 - 462, 2009.

[25] Clanton, J.M., Bevly, D.M., Hodel, A.S., “A Low-Cost Solution for an Integrated Multisensor Lane Departure Warning System,” IEEE Transactions on Intelligent Transportation Systems, Vol. 10, Issue. 1, pp. 47 - 59, 2009.

[26] Toledo-Moreo, R., Zamora-Izquierdo, M.A., “IMM-Based Lane-Change Prediction in Highways With Low-Cost GPS/INS,” IEEE Transactions on Intelligent Transportation Systems, Vol. 10, Issue. 1, pp. 180 - 185, 2009.

[27] Mammar, S., Glaser, S., Netto, M., “Time to line crossing for lane departure avoidance: a theoretical study and an experimental setting,” IEEE Transactions on Intelligent Transportation Systems, Vol. 7, Issue. 2, pp. 226 - 241, 2006.

[28] Ahmad. M.B., Tae-Sun Choi, “Local Threshold and Boolean Function Based Edge Detection,” IEEE Transactions on Consumer Electronics, Vol.45, pp. 674 – 679, Aug 1999.

[29] Claudio Rosito Jung, Christian Roberto Kelber, “A Lane Departure Warning System based on a Linear-Parabolic Lane Model,” IEEE Intelligent Vehicles Symposium, pp.

891 – 895, June 2004.

[30] J. W. Lee, C.-D. Kee, and U. K. Yi, “A New Approach for Lane Departure Identification,” in Proc. IEEE Intelligent Vehicles Symposium, Columbus, USA, pp.

100–105, 2003.

[31] Pau-Lo Hsu I, Hsu-Yuan Cheng I, Bol-Yi Tsuei , and Wen-Jing Huang, “The Adaptive Lane-Departure Warning System,” Proceedings of the 41st SICE Annual Conference, pp. 2867-2872, Vol. 5 , Aug. 2002.

[32] McCall, J.C., Trivedi, M.M., “Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation,” IEEE Transactions on Intelligent Transportation Systems, Vol. 7, Issue. 1, pp. 20 - 37, 2006.

[33] Bing-Fei Wu, Chuan-Tsai Lin, Yen-Lin Chen, “Dynamic Calibration and Occlusion Handling Algorithms for Lane Tracking,” IEEE Transactions on Industrial Electronics, Vol. 56, Issue. 5, pp. 1757 - 1773, 2009.

[34] Hsu-Yung Cheng, Bor-Shenn Jeng, Pei-Ting Tseng, Fan, K.-C., “Lane Detection With Moving Vehicles in the Traffic Scenes,” IEEE Transactions on Intelligent Transportation Systems, Vol. 7, Issue. 4, pp. 571 - 582, 2006.

[35] Caraffi, C., Cattani, S., Grisleri, P., “Off-Road Path and Obstacle Detection Using Decision Networks and Stereo Vision,” IEEE Transactions on Intelligent Transportation Systems, Vol. 8, Issue. 4, pp. 607 - 618, 2007.

[36] Yan Wang, Li Bai, Fairhurst, M., “Robust Road Modeling and Tracking Using Condensation,” IEEE Transactions on Intelligent Transportation Systems, Vol. 9, Issue. 4, pp. 570 - 579, 2008.

[37] Danescu, R., Nedevschi, S., “Probabilistic Lane Tracking in Difficult Road Scenarios Using Stereovision,” IEEE Transactions on Intelligent Transportation Systems, Vol. 10, Issue. 2, pp. 272 - 282, 2009.

[38] ZuWhan Kim, “Robust Lane Detection and Tracking in Challenging Scenarios,”

IEEE Transactions on Intelligent Transportation Systems, Vol. 9, Issue. 1, pp. 16 - 26, 2008.

[39] Tingkai Xia, Ming Yang, Ruqing Yang, Chunxiang Wang, “CyberC3: A Prototype Cybernetic Transportation System for Urban Applications,” IEEE Transactions on Intelligent Transportation Systems, Vol. 11, Issue. 1, pp. 142 - 152, 2010.

[40] 陳琮仁, “以道路辨識與前車偵測之車載駕駛警示系統 ,” 碩士論文, 國立台灣

大學, 2003.

[41] Shih-Shinh Huang, Chung-Jen Chen, Pei-Yung Hsiao, Li-Chen Fu, “On-board vision system for lane recognition and front-vehicle detection to enhance driver's awareness,” IEEE International Conference on Robotics and Automation, 2004.

Proceedings. ICRA '04. 2004, Vol.3, pp.2456 - 2461, 2004.

75

[42] P.-Y. Hsiao, C.-W. Yeh, “A portable real-time lane departure warning system based on embedded calculating techniques,” in Proc. IEEE Conf. Veh. Technol., May 2006, pp. 2982–2986.

[43] Pei-Yung Hsiao, Chun-Wei Yeh, Shih-Shinh Huang, and Li-Chen Fu, “A Portable Vision-Based Real-Time Lane Departure Warning System: Day and Night,” IEEE Transactions on Vehicular Technology, VOL. 58, NO. 4, pp . 2089 – 2094, May 2009.

[44] Ming-Jer Jeng, Chung-Yen Guo, Bo-Cheng Shiau, Liann-Be Chang, Pei-Yung Hsiao,

“Lane Detection System Based on Software and Hardware Codesign,” Autonomous Robots and Agents, 2009. ICARA 2009. 4th International Conference on, pp.

319-323, Feb 10-12 2009.

[45] 台灣微軟 http://www.microsoft.com/taiwan/windows/embedded/default.mspx.

[46] 鐘國亮,2004,“影像處理與電腦視覺”,第二版,東華書局。

[47] 探矽工作室,2004,“嵌入式系統導論, 3e,”,學貫。

[48] 長高科技,2007,“ARM9 S3C2440 嵌入式系統實作 – WinCE及上層應用實驗

篇”,長高科技圖書。

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