| 研究生: | 李玉鈞 Li, Yu-Chun | 
|---|---|
| 論文名稱: | 車用防撞警示系統及視覺導引系統之發展 Development of Vehicular Collision Warning System and Vision Navigation System | 
| 指導教授: | 莊智清 Juang, Jyh-Ching | 
| 學位類別: | 碩士 Master | 
| 系所名稱: | 電機資訊學院 - 電機工程學系 Department of Electrical Engineering | 
| 論文出版年: | 2011 | 
| 畢業學年度: | 99 | 
| 語文別: | 中文 | 
| 論文頁數: | 91 | 
| 中文關鍵詞: | 車輛模型 、防撞警示系統 、視覺導引系統 | 
| 外文關鍵詞: | vehicle model, collision warning system, vision navigation system | 
| 相關次數: | 點閱:102 下載:0 | 
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本論文旨在發展防撞警示系統及視覺導引系統。近年來,許多國家推動電動載具來改善環境品質技能源危機的問題,並藉由感應式充電來解決載具續航力的問題。然而,感應式充電需要次級側與初級側相位對位,次級側才能從初級側拾取較多的能量,以提高對電池充電速度。在本論文中分別在載具車頭及底盤處上裝設CCD攝影機智慧型攝影機,其CCD攝影機的功能是將載具導引到感應式充電的軌道上,當載具在軌道上移動時,智慧型攝影機會透過圖像匹配法來判斷載具次級側是否在初級側上方,並使用感應式充電的原理對載具鋰電池充電。
此外,本論文亦發展防撞警示系統,目的是利用車間通訊技術使載具在任何環境下行駛時都能避免與其他車輛發生碰撞。此防撞警示系統利用雷射感測器掃描障礙物與載具之間的相對距離及角度、GPS接收器定出載具的位置,並使用無線通訊模組來傳送載具資訊給其他附近車輛,且同時接收其他車輛資訊,並根據載具的資訊評估防撞風險指標來判斷載具是否會與其他車輛發生碰撞,並警告駕駛。
This thesis is to develop a collision warning system and vision navigation system. In recent years, many countries have been promoting the use of electrical vehicle (EV) to improve the environment and energy problems. One method to increase the cruise range of electrical vehicle is by using inductive charging. In contactless charging, the primary stage and second stage should be aligned exactly in order to obtain more energy, and increase the rate of charging of battery. In this thesis, the CCD camera and smart camera are equipped in the head and chassis of EV, respectively. The function of CCD camera is to guide the vehicle to move to the track of contactless charging. After the vehicle is on the track, the smart camera begins to determine whether the secondary stage is above the primary stage through pattern matching approach. The development of collision warning system is to avoid the vehicular collision under almost all situations such as intersection and blind corners by using the inter-vehicle communication technology. This collision warning system uses the laser scanner for the relative distance and relative angle scanning between the vehicle and obstacle, the GPS receiver for vehicle position locating, and wireless communication module for the vehicular information receiving and sharing from/to other vehicle at same time. Based on vehicular message, it is possible to evaluate the collision risk and provide a warning to the driver.
[1]	B. D. O. Anderson and J. B. Moore, Optimal Control-Linear Quadratic Method, Prentice-Hall, INC., 1989.
[2]	ASTM E2213-03, Standard Specification for Telecommunications and Information Exchange Between Roadside and Vehicle Systems, 2003.
[3]	C. B. Barber, D. P. Dobkin, and H. Huhdampaa, “The Quickhull Algorithm for Convex Hulls,” ACM Transactions on Mathematical Software, Vol. 22, No. 4, pp. 469-483, 1996.
[4]	A. Broggi, A. Fedriga, A. Tagliati, and M. Meinecke, “Pedestrian Detection on a Moving Vehicle: an Investigation about Near Infra-Red Images,” IEEE Intelligent Vehicles Symposium, pp. 431-436, 2006.
[5]	D. Caveney, “ Cooperative Vehicular Safety Applications,” IEEE Control Systems, Vol. 30, No. 4, pp. 38-53.
[6]	W. Chen and S. Cai, “Ad Hoc Peer-to-Peer Network Architecture for Vehicle Safety Communication,” IEEE Communications Magazine, Vol. 43, No. 4, pp. 100-107, 2005.
[7]	J.M. Clanton, D.M. Devly, and A.S. Hodel, “A Low-Cost Solution for an Integrated Multisensor Lane Departure Warning System” IEEE Transactions on Intelligent Transportation Systems, Vol. 10, No. 1, pp. 47-59, 2009.
[8]	Eric M. Delmelle, Peter A. Rogerson, Mohan R. Akella, R. Batta, A. Blatt, G. Wilson,  “A Spatial Model of Received Signal Strength Indicator Values for Automated Collision Notification Technology.”, Transportation Research Part C: Emerging Technologies, Vol. 13, No. 5, pp. 431-477, 2005.
[9]	M. Distner, M. Bengtsson, T. Broberg, and L. Jakobsson, “City Safety – A System addressing Rear-End Collisions at Low Speeds,” 21st ESV Conference, No. 09-0371, 2009.
[10]	Ian J. Fialho and Gary J. Balas, “Design of Nonlinear Controllers for Active Vehicle Suspensions Using Parameter – Varying Control Synthesis Vehicle System Dynamics,” Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility, Vol. 33, No. 5, pp. 351-370, 2000.
[11]	B. Gallagher and H. Akatsuka, “Wireless Communications for Vehicle Safety: Radio Link Performance and Wireless Connectivity Method,” IEEE Vehicular Technology Magazine, Vol. 1, No. 4, pp. 4-24, 2006.
[12]	T. D. Gillespie, Fundamentals of Vehicle Dynamics, SAE International, 1992.
[13]	L. Giubbonlini, “A Multistatic Microwave Radar Sensor for Short Range Anticollision Warning” IEEE Transactions on Vehicular Technology, Vol. 49, No. 6, pp. 2270-2275, 2000.
[14]	S. S. Huang, C. J. Chen, P. Y. Hsiao, and L. C. 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), Vol. 3, pp. 2456-2461, 2004.
[15]	P. Y. Hsiao, C. W. Yeh, S. S. Huang, and L. C. 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, 2009.
[16]	H. Hwajernaak and R. Sivan, Linear Optimal Control System, John Wiley & Sons, INC., 1972.
[17]	IEEE P802.11p/D6. Draft Amendment for Wireless Access in Vehicular Environments(WAVE), March 2009.
[18]	IEEE 1609.1-2006: IEEE Trial-Use Standard for Wireless Access in Vehicular Environments – (WAVE) Resource Manager.
[19]	IEEE 1609.2-2006: IEEE Trial –Use Standard for Wireless Access in Vehicular Environments – Security Service for Applications and Management Messages.
[20]	IEEE P1609.3 D1.0, Draft Standard for Wireless Access in Vehicular Environments (WAVE) – Multi-channel Operation, December 2008.
[21]	IEEE P1609.4 D1.0, Draft Standard for Wireless Access in Vehicular Environments (WAVE) - Multi-channel Operation, December 2008.
[22]	IEEE 802.11 Working Group, Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, June 2007.
[23]	M. R. Issa and E. Barbieri, “Optimal PI-Lead Controller Design,” IEEE Proceedings System Theory, pp. 364-368, 1996.
[24]	J. Jansson and F. Gustafsson, “A Framework and Automotive Application of Collision Avoidance Decision Making,” Automatica, Vol. 44, No. 9, pp. 2347-2351.
[25]	J. Jansson, J. Johansson, and F. Gustafsson, “Decision Making for Collision Avoidance System,” Society of Automotive Engineers (2002), 2002-01-0403.
[26]	R. N. Jazar, Vehicle Dynamics: Theory and Application, Springer, 2008.
[27]	P. Jeong and S. Nedevschi, “Efficient and Robust Classification Method Using Combined Feature Vector for Lane Detection,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 15, No. 4, pp. 528-537, 2005.
[28]	Jennic, “Data Sheet-JN513X”, Available: http://www.jennic.com/ 
[29]	N. Kaempchen, B. Schiele, and K. Dietmayer, “Situation Assessment of an Autonomous Emergency Brake for Arbitrary Vehicle-to-Vehicle Collision Scenarios,” IEEE Transactions on Intelligent Transportation System, Vol. 10, No. 4, pp. 678-687, 2009.
[30]	U. Kiencke and L. Nielsen, Automotive Control System for Engine, Driveline, and Vehicle, Springer, 2005.
[31]	J.H. Kim and Z. Bien, “A Study on Active Collision Avoidance System for the Road Vehicle” IEICE Trans. Inf. & Syst., Vol. E84-D, No. 6, 2001.
[32]	H. Kong, J. Y. Audibert, and J. Ponce, “General Road Detection From a Single Image,” IEEE Transactions on Image Processing, Vol. 19, No. 8, pp. 2211-2220, 2010.
[33]	Y. Li, Z. Ling, Y. Liu, and Y. Qizo, “Method of Fuzzy-PID Control on Vehicle Longitudinal Dynamics System,” Lecture Notes in Artificial intelligence, Vol. 3613, pp. 822-832, 2005.
[34]	C. L. Lin and H. W. Su, “Intelligent Control Theory in Guidance and Control System Design: an Overview,” Proc. Natl. Sci., Vol. 24, No. 1, pp.15-30, 2000
[35]	P. Lindner and G. Wanielik, “3D Lidar Processing for Vehicle Safety and Environment Recognition,” IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems, pp. 66-71, 2009.
[36]	W. Lu, Y. Zheng, Y. Q. Ma, and T. Liu, “An Integrated Approach to Recognition of Lane Marking and Road Boundary,” 2008 Workshop on Knowledge Discovery and Data Mining, pp. 649-653, 2008.
[37]	J. Mar, H. T. Lin, “The Car-Following and Lane-Changing Collision Prevention System Based on the Cascaded Fuzzy Inference System,” IEEE Vehicular Technology Society, Vol. 54, No. 3, pp. 910-924, 2005.
[38]	MathWorks, “ Longitudinal Vehicle Dynamics,” 1984-2011 The MathWorks. Available: http://www.mathworks.com/help/toolbox/physmod/drive/longitudinalvehicledynamics.html 
[39]	MathWorks, “A Vehicle Dynamics System,” 1994-2011 The MethWorks. Available: http://www.mathworks.com/products/sysid/demos.html?file=/products/demos/shipping/idnlgreydemo11.html 
[40]	H. C. Moon, K. M. Min, and J. H. Kim, “Vision System of Unmanned Ground Vehicle,” International Conference on Control, Automation and System (2008), pp. 599-603, 2008
[41]	S. Nemoto, T. Ogiro, Y. Kamiya, Y. Daisho, and S. Takahashi, “Development and Performance Evaluation of Short-range Frequent-Recharging Electric Bus WEB-1 Advanced,” The 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition, 2010.
[42]	National Instruments, “Counting Particles or Cells Using IMAQ Vision,” Sep 6, 2006. Available: http://zone.ni.com/devzone/cda/tut/p/id/3169#toc4
[43]	National Instruments, “Image Analysis and Processing,” May 15, 2008. Available: http://zone.ni.com/devzone/cda/tut/p/id/3470
[44]	National Instruments, “Isolating Objects via Particle Filtering,” Sep 6, 2006. Available: http://zone.ni.com/devzone/cda/tut/p/id/2826
[45]	National Instruments, “NI Vision Concepts Manual,” Jun. 2008. Available: http://www.ni.com/pdf/manuals/372916g.pdf 
[46]	National Instruments, “Particle Analysis – NI Vision 2010 Concepts Help,” Jun, 2010. Available: http://zone.ni.com/reference/en-XX/help/372916J-01/nivisionconcepts/particle_analysis/
[47]	National Instruments, “Pattern Matching Strategies,” Sep 6, 2006. Available: http://zone.ni.com/devzone/cda/tut/p/id/3763
[48]	National Instruments, “Pattern Matching Techniques” Jun, 2010. Available: http://zone.ni.com/reference/en-XX/help/372916J-01/nivisionconcepts/pattern_matching_techniques/
[49]	H. B. Pacejka, Tyre and Vehicle Dynamics, SAE International and Elsevier, 2005.
[50]	A. Polychronopoulos, M. Tsogas, A. J. Amditis, and L. Andreone, “Sensor Fusion for Predicting Vehicle’s Path for Collision Avoidance Systems,” IEEE Transactions on Intelligent Transportation Systems, Vol.8, No. 3, pp 549-562, 2007.
[51]	R. Rajamani, Vehicle Dynamics and Control, Springer, 2006.
[52]	B. L. Stevens and F. L. Lewis, Aircraft Control and Simulation, John Wiley & Sons, INC., pp 421-437, 1992.
[53]	M. Tetsuo and A. Toshiyuki, “Development of Pedestrian Protection Technologies for ASV,” JSAE Review, Vol. 23, No. 3, pp. 353-356, 2002.
[54]	Y. Tian, Y. Sun, Y. Su, X. Dai, and A.Wang, “Study on the Electric Vehicle Wireless Power Supply Technology and System Based on ICPT,” The 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition, 2010.
[55]	A. Toshimi, “Future Vehicle Technologies for Environment and Safety,” IEEE Symposium on VLSI Technology, pp. 2-5, 2007.
[56]	J. Ueki, S. Tasaka, Y. Hatta, and H. Okada, “Vehicular-Collision Avoidance Support System (VCASS) by Inter-Vehicle Communications for Advanced ITS,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E88-A, No. 7, pp. 1816-1823, 2005.
[57]	Y. U. Yim and S. Y. Oh, “Three-Feature Based Automatic Lane Detection Algorithm (TFALDA) for Autonomous Driving,” IEEE Transactions on Intelligent Transportation Systems, Vol. 4, No. 4, pp. 219-225, 2003.
[58]	ZigBee Alliance, “ZigBee Specification,” Tech, Version 1.0, Jun. 2005. Available: http://www.Zigbee.org 
[59]	內政部統計處” 九十九年第四十八週內政統計通報(99年1-10月致人傷亡之道路交通事故統計)” 網址: http://www.moi.gov.tw/stat/news_content.aspx?sn=4841.
[60]	黃琮惠,「多移動機器人於階層式隊形的協調與容錯控制」,國立成功大學電機工程研究所碩士論文, 2010.
[61]	蕭東榕,「智慧型攝影機網路射頻與視覺定位之實現與分析」,國立成功大學電機工程研究所碩士論文,2010.
 校內:2016-08-05公開
                                        校內:2016-08-05公開