• 沒有找到結果。

第六章 結論及未來展望

6.2 未來展望

未來將與機器人做結合,隨時傳送避障路徑給機器人,並利用控制器去追蹤 避障路徑,以完成機器人在走廊上的巡邏。而在影像處理的方面,換成更高像素 的影像設備,以提高距離量測的精確度。

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參考文獻

[1] G. Yasuda and H. Takai, “Sensor-based path planning and intelligent steering control of nonholonomic mobile robots,” The 27th Annual Conference of the IEEE Industrial Electronics Society, 2001, pp. 317-322.

[2] A. Fujimori and S. Tani, “A navigation of mobile robots with collision avoidance for moving obstacles,” IEEE International Conference on Industrial Technology, 2002, pp.

1-6.

[3] Y. Wang and S. Fang, “Image-based exploration obstacle avoidance for mobile robot,”

Control and Decision Conference, 2009, pp. 3019-3023.

[4] R. C. Luo, K. L. Su, and K. H. Tsai, “Intelligent security robot fire detection system using adaptive sensory fusion method,” IEEE 28th Annual Conference of the Industrial Electronics Society, Nov. 2002, pp. 2663-2668.

[5] R. C. Luo, K. L. Su, and K. C. Lin, “Overview of The Intelligent Security Robot – Chung Cheng I,” IEEE Workshop on Advance Robotics and its Social Impacts, June 2005, pp. 220-225.

[6] E. M. Petriu, “Automated guided vehicle with absolute encoded guide-path,” IEEE Transactions on Robotics and Automation, vol. 7, no.4, pp. 562-565, Aug. 1991.

[7] M. Rous, H. Lupschen, and K. F. Kraiss, “Vision-Based Indoor. Scene Analysis for Natural Landmark Detection,” IEEE International Conference on Robotics and Automation, Barcelona, Spain, April 2005, pp. 4642-4647.

[8] H. Y. Cheng, B. S. Jeng, P. T Tseng, and K.-C. Fan, “Lane Detection With Moving Vehicles in the Traffic Scenes,” IEEE Transactions on Intelligent Transport System, vol. 7, no. 4, pp. 571-582, Dec. 2006.

63

[9] S. K. Park, J. H. Jung, and K. W. Lee, “Mobile robot navigation by circular path planning algorithm using camera and ultrasonic sensor,” IEEE International Symposium on Industrial Electronics, July 2009, pp. 1749-1754.

[10] A. Caarullo and M. Parvis, “An ultrasonic sensor for distance measurement in automotive applications,” IEEE Sensors Journal, vol. 1, no. 3, pp. 143-147, Oct. 2001.

[11] K. Kaliyaperumal, S. Lakshmanan, and K. Kluge, “An algorithm for detecting roads and obstacles in radar images,” IEEE Trans. on Vehicular Technology, vol. 50, pp.

170-182, Jan. 2001.

[12] H. T. shin, “Vehicles Crash proof Laser Radar,” M.S. thesis, Opt. Sci. Center, National Central University, Chung Li City, Taiwan, R.O.C., 2000.

[13] K. Osugi, K. Miyauchi, N. Furui, and H. Miyakoshi, “Development of the scanning laser radar for ACC system,” JSAE review, vol. 20, no. 4, Oct. 1999, pp. 549-554.

[14] 陳政傑,“自走式機器人之雷射定位與路徑規劃”, 國立雲林科技大學 ,

[17] S. Nedevschi, R. Danescu, D Frentiu, T. Marita, F. Oniga, C. Pocol, R. Schmidt, and T.

Graf, “High accuracy stereo vision system for far distance obstacle detection,” IEEE Intelligent Vehicles Symposium, June. 2004, pp. 161-166.

[18] T. Suzuki and T. Kanada, “Measurement of vehicle motion and orientation using optical flow,” IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems, Tokyo, Japan, Oct. 1999, pp. 25-30.

64

[19] A. Ohya, A. Kosaka, and A. Kak, “Vision-Based Navigation by a Mobile Robot with Obstacle Avoidance Using Single-Camera Vision and Ultrasonic Sensing,” IEEE Transactions on Robotics and Automation, vol. 14, pp. 969-978, Dec. 1998.

[20] Y. Wang, S. Fang, Y. Cao, H. Sun, “Image-based exploration obstacle avoidance for mobile robot,” Chinese Control and Decision Conference, Guilin, June 2009, pp.

3019-3023.

[21] D. Hoiem, A. A. Efros, and M. Hebert, “Recovering surface layout from an image,”

International Journal of Computer Vision, vol. 75, no. 1, pp. 151-172, 2007.

[22] L. Y. Guo and Y. Q. Xia, “Color image stereo correspondence algorithm for obstacle detection,” Chinese Conference on Pattern Recognition, Nanjing, Nov. 2009, pp. 1-4.

[23] 謝易錚,“以立體視覺實作盲人輔具系統”, 國立中央大學 , 碩士論文 ,

95 年 7 月

[24] H. Noborio and Y. Nishino, “Image-based path-planning algorithm on the ioint space,”

IEEE International Conference on Robotics and Automation, 2001, pp. 1180-1187.

[25] J. C. Latombe, “Robot Motion Planning,” Kluwer. Academic Publishers, 1991.

[26] D. Ferguson and A. Stentz, “The delayed D* algorithm for efficient path replanning,”

Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005, pp. 2045-2050.

[27] 余志成,“應用環場影像器於自主式越障車之定位與路徑規劃系統”, 國

立高雄第一科技大學, 碩士論文, 93 年

[28] Rafael C. Gonzalez and Richard E. Woods,數位影像處理,繆紹綱,台灣培

生教育出版股份有限公司,2005 年 12 月

[29] M. Miwa, M. Ishii, and M. Sato, “Screen projection camera for ranging far away objects,” Pattern Recognition, 2000. Proceedings.15th International Conference, Spain, 2000, pp. 4744-4747.

65

[30] T. Egami, S. Oe, K. Terada, and T. Kashiwagi, “Three dimensional measurement using color image and movable CCD system,” The 27th Annual Conference of the IEEE Industrial Electronic Society, 2001, pp. 1932-1936.

[31] A. Cano-Garcia and P. R. Fernaindez, “Simplified Method for Radiometric Calibration of an Array Camera,” Proceedings of the IEEE International Symposium on Intelligent Signal Processing, pp. 1-5, Oct. 2007.

[32] R. cucchiara, M. Piccardi, and P. Mello, “Image analysis and rule-based reasoning for a traffic monitoring system,” IEEE Transportation Intelligent., Transp. Syst, vol. 1, no.

4, pp. 119-130, March 2000.

[33] H. Yan, “Image analysis for digital media applications,” IEEE Comput. Graph. Appl, vol. 21, no.1 , pp. 18-26, Jan. 2011.

[34] B. G. Mertzios and K. Tsiriklias, “Applications of coordinate logic filters in image analysis and pattern recognition,” Proceedings of 2nd International Symposium on Image and Signal Processing and Analysis, 2001, pp. 125-130.

[35] C. C. Hsu, M. C. Lu, W. Y. Wang, and Y. Y. Lu, “Three dimensional measurement of distant objects based on laser-projected CCD images,” IET Science, Measurement &

Technology, vol. 3, no. 3, pp. 197-207, May 2009.

[36] B. G. Mertzios and I. S. Tsirikolias, “Applications of coordinate logic filters in image analysis and pattern recognition,” Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis, Pula, pp. 125-130, Jun. 2001.

[37] M. C. Lu, “Image-based height measuring system for Liquid or particles in tanks,”

ROC patent of invention, no. 201536, 2004.

[38] C. C. Chen, M. C. Lu, W. Y. Wang, and C.-T. Chuang, “The Mere diverter and its application,” ROC patent of invention, no. M279875, 2005.

[39] M. C. Lu, W. Y. Wang, C. T. Chuang, C.-P. Tsai, and Y.-Y. Lu, “Height Measuring System via Slant Photography,” Proceedings of the 4th International Conference on

66

Autonomous Robots and Agents, Wellington, New Zealand, pp.302-307, Feb. 10-12, 2009.

[40] W. Y. Wang, M. C. Lu, C. T. Chuang, and J.-C. Cheng, “Image-Based Height Measuring System,” The 7th WSEAS International Conference on Signal Processing Computational Geometry & Artificial Vision (ISCGAV'07), Vouliagmeni Beach, Athens, Greece, Aug. 24-26, 2007, pp.147-152.

[41] M. C. Lu, W. Y. Wang, and H. H. Lan, “Image-based height measuring system for Liquid or particles in tanks,” Proc. IEEE Int. Conf. Networking, Sensing and Control, vol. 1, 2004, pp. 24-29.

[42] C. C. Chen, M. C. Lu, C. T. Chuang, and C.-P. Tsai, “Vision-Based Distance and Area Measurement System,” WSEAS Transactions on Signal Processing, vol. 4, Issue 2, pp.

36-43, Feb. 2008.

[43] T. W. Lai, I. H. Li, C. P. Tsai, and W.-Y. Wang, “A single CCD measuring method for three-dimensional rectangular objects,” International Conference on System Science and Engineering, pp. 223-228, 2012.

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自傳

學生陳奕涵,家境小康,除了雙親之外,還有一個姊姊,家裡的 觀念非常開放,時常鼓勵我朝自己的興趣發展,故在高中時選擇二類 組,並在大學及研究所選讀相關的科系。

在大學時就讀中原大學電機工程學系,雖然是第一次離家外宿,

但是卻很適應團體生活,跟大學朋友感情相當濃厚,考研究所時也互 相鼓勵,相互支持,朝各自的目標前進,對我來說是非常棒的經驗。

研究所就讀於台灣師範大學應用電子科技學系,由於碩士的研究 領域為影像處理,在大學時沒有接觸過,所以深感所學不足,也更加 努力充實自己的知識,並選修了影像處理、多媒體網路與控制系統設 計等相關課程,在學長不厭其煩地教導下,慢慢將 OpenCV、自動化控 制以及影像處理的觀念建立起來。

研究所讓我學到很多遇到問題的處理方法與態度,並建立有效的

思考邏輯,希望以後能夠將所學應用於工作當中,成為優秀的科技人

才。

68

學術成就

論文發表

1. Y.-H. Chen, M.-C. Chen, I-H. Li, W.-Y. Wang, and S.-F. Su, “Image-Based Obstacle Avoidance and Path-Planning System,” IEEE International

Conference on System Science and Engineering, pp. 205-209, 2013.

2. 陳奕涵、李宜勳、陳銘滄、王偉彥、蘇順豐, “影像式避障與路徑 規劃系統,” 系統科學與工程研討會, pp. 208-211, 2013.

參與研究計畫

1. 夜視型自主式群組校園巡邏機器人之研究-總計畫暨子計畫二:基於

Petri net 理論之群組夜間巡邏機器人之分散式系統(III)

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