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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80884
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dc.contributor.advisor詹魁元(Kuei-Yuan Chan)
dc.contributor.authorJin-Yi Lien
dc.contributor.author李晉毅zh_TW
dc.date.accessioned2022-11-24T03:20:25Z-
dc.date.available2021-11-08
dc.date.available2022-11-24T03:20:25Z-
dc.date.copyright2021-11-08
dc.date.issued2021
dc.date.submitted2021-09-29
dc.identifier.citationJ. Sacks, W. Welch, T. Mitchell, and H. Wynn, “Design and analysis of computer experiments. with comments and a rejoinder by the authors,” Statistical Science, vol. 4, 01 1989. L. Schwer, “Guide for verification and validation in computational solid mechanics,”American Society of Mechanical Engineers, vol. 60, no. 10, pp. 1–15, 2006. F. Braghin, F. Cheli, S. Melzi, and F. Resta, “Tyre wear model: Validation and sensitivity analysis,” Meccanica, vol. 41, pp. 143–156, 01 2006. G. J. Heydinger, C. Schwarz, M. K. Salaani, and P. A. Grygier, “Model validation of the 2006 bmw 330i for the national advanced driving simulator,” tech. rep., SAE Technical Paper, 2007. R. G. Sargent, “Verification and validation of simulation models,” Journal of simulation, vol. 7, no. 1, pp. 12–24, 2013. P. J. Mcnaull, D. A. Guenther, G. J. Heydinger, P. A. Grygier, and M. K. Salaani,“Validation and enhancement of a heavy truck simulation model with an electronic stability control model,” tech. rep., SAE Technical Paper, 2010. B. Ozan, P. Sendur, M. E. Uyanik, Y. Oz, and S. I. Yilmaz, “A model validation methodology for evaluating rollover resistance performance of a ford commercial vehicle,” tech. rep., SAE Technical Paper, 2010. E. Kutluay and H. Winner, “Validation of vehicle dynamics simulation models–a review,” Vehicle System Dynamics, vol. 52, no. 2, pp. 186–200, 2014. C.-H. Wu, “A 2d lidar based object tracking and collision avoidance method for mobile robots in dynamic environment,” Master’s thesis, National Taiwan University, 2020. 74 A. Saltelli, S. Tarantola, and K.-S. Chan, “A quantitative model-independent method for global sensitivity analysis of model output,” Technometrics, vol. 41, no. 1, pp. 39–56, 1999. R. E. Kalman, “A New Approach to Linear Filtering and Prediction Problems,” Journal of Basic Engineering, vol. 82, pp. 35–45, 03 1960. Y.-P. Chen and K.-Y. Chan, “Unknown parameter excitation and estimation for complex systems with dynamic performances,” Journal of Mechanical Design, vol. 143, no. 9, p. 091704, 2021. B. Iooss and P. Lemaître, “A review on global sensitivity analysis methods,” in Uncertainty management in simulation-optimization of complex systems, pp. 101–122, Springer, 2015. S. IM, “Sensitivity estimates for nonlinear mathematical models,” Math. Model. Comput. Exp, vol. 1, no. 4, pp. 407–414, 1993. A. Saltelli, M. Ratto, T. Andres, F. Campolongo, J. Cariboni, D. Gatelli, M. Saisana, and S. Tarantola, Global sensitivity analysis: the primer. John Wiley Sons, 2008. H. Wang, H. Su, K. Zheng, S. Sadiq, and X. Zhou, “An effectiveness study on trajectory similarity measures,” in Proceedings of the Twenty-Fourth Australasian Database Conference-Volume 137, pp. 13–22, 2013. R. S. D. Sousa, A. Boukerche, and A. A. Loureiro, “Vehicle trajectory similarity: Models, methods, and applications,” ACM Computing Surveys (CSUR), vol. 53, no. 5, pp. 1–32, 2020. Y. Zheng, Q. Li, Y. Chen, X. Xie, and W.-Y. Ma, “Understanding mobility based on gps data,” in Proceedings of the 10th international conference on Ubiquitous computing, pp. 312–321, 2008. M. Kubicka, A. Cela, H. Mounier, and S.-I. Niculescu, “Comparative study and application-oriented classification of vehicular map-matching methods,” IEEE Intelligent Transportation Systems Magazine, vol. 10, no. 2, pp. 150–166, 2018. Y.-P. Chen and K.-Y. Chan, “Unknown parameter excitation and estimation for complex systems with dynamic performances,” Journal of Mechanical Design, vol. 143, no. 9, p. 091704, 2021. ISO Central Secretary, “Passenger cars - test track for a severe lane-change manoeuvre - part 1: Double lane-change,” Standard ISO/TR 3888-1:2018, International Organization for Standardization, Geneva, CH, 2018. 75 ISO Central Secretary, “Passenger cars –steady-state circular driving behaviour – open-loop test procedure,” Standard ISO/TR 4318:2012, International Organization for Standardization, Geneva, CH, 2012. M. Vlachos, D. Gunopulos, and G. Das, “Rotation invariant distance measures for trajectories,” in Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 707–712, 2004. H. Fashandi and A. E. Moghaddam, “A new rotation invariant similarity measure for trajectories,” in 2005 International Symposium on Computational Intelligence in Robotics and Automation, pp. 631–634, IEEE, 2005. L. Chen, M. T. Özsu, and V. Oria, “Symbolic representation and retrieval of moving object trajectories,” in Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval, pp. 227–234, 2004. J. Bian, D. Tian, Y. Tang, and D. Tao, “Trajectory data classification: A review,”ACM Transactions on Intelligent Systems and Technology (TIST), vol. 10, no. 4, pp. 1–34, 2019. C. A. Ratanamahatana and E. Keogh, “Making time-series classification more accurate using learned constraints,” in Proceedings of the 2004 SIAM international conference on data mining, pp. 11–22, SIAM, 2004. D. J. Berndt and J. Clifford, “Using dynamic time warping to find patterns in time series.,” in KDD workshop, vol. 10, pp. 359–370, Seattle, WA, USA:, 1994. M. Vlachos, G. Kollios, and D. Gunopulos, “Discovering similar multidimensional trajectories,” in Proceedings 18th international conference on data engineering, pp. 673–684, IEEE, 2002. G. Navarro, “A guided tour to approximate string matching,” ACM computing surveys (CSUR), vol. 33, no. 1, pp. 31–88, 2001. L. Chen, M. T. Özsu, and V. Oria, “Robust and fast similarity search for moving object trajectories,” in Proceedings of the 2005 ACM SIGMOD international conference on Management of data, pp. 491–502, 2005. G. Yuan, P. Sun, J. Zhao, D. Li, and C. Wang, “A review of moving object trajectory clustering algorithms,” Artificial Intelligence Review, vol. 47, no. 1, pp. 123–144, 2017. H.-T. Tsai, “Analysis the impact of sensing error for vehicle overtaking maneuver using global sensitivity,” Master’s thesis, National Taiwan University, 2019. 76 S. Campbell, N. O’Mahony, L. Krpalcova, D. Riordan, J. Walsh, A. Murphy, and C. Ryan, “Sensor technology in autonomous vehicles: A review,” in 2018 29th Irish Signals and Systems Conference (ISSC), pp. 1–4, IEEE, 2018. D. Jeon, H. Choi, and J. Kim, “Ukf data fusion of odometry and magnetic sensor for a precise indoor localization system of an autonomous vehicle,” in 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp. 47–52, 2016. X. Li, W. Chen, C. Chan, B. Li, and X. Song, “Multi-sensor fusion methodology for enhanced land vehicle positioning,” Information Fusion, vol. 46, pp. 51–62, 2019. D. Feng, C. Wang, C. He, Y. Zhuang, and X.-G. Xia, “Kalman-filter-based integration of imu and uwb for high-accuracy indoor positioning and navigation,” IEEE Internet of Things Journal, vol. 7, no. 4, pp. 3133–3146, 2020. L. Mainetti, L. Patrono, and I. Sergi, “A survey on indoor positioning systems,” in 2014 22nd international conference on software, telecommunications and computer networks (SoftCOM), pp. 111–120, IEEE, 2014. J. A. Maintz and M. A. Viergever, “A survey of medical image registration,” Medical image analysis, vol. 2, no. 1, pp. 1–36, 1998. A. Savitzky and M. J. Golay, “Smoothing and differentiation of data by simplified least squares procedures.,” Analytical chemistry, vol. 36, no. 8, pp. 1627–1639, 1964. S. Baijal, S. Singh, A. Rani, and S. Agarwal, “Performance evaluation of s-golay and ma filter on the basis of white and flicker noise,” in Advances in Signal Processing and Intelligent Recognition Systems, pp. 245–255, Springer, 2016. N. B. Gallagher, “Savitzky-golay smoothing and differentiation filter,” R. Losada, “Savitzky-golay filtering - matlab.” https://www.mathworks.com/help/signal/ref/sgolayfilt.html. Accessed: 2021-08-07. D. John, “interparc - matlab.” https://www.mathworks.com/matlabcentral/fileexchange/34874-interparc. Accessed: 2021-08-07. L. Ljung, “System identification,” Wiley Encyclopedia of Electrical and Electronics Engineering, pp. 1–19, 1999. R. C. Coulter, “Implementation of the pure pursuit path tracking algorithm,” tech. rep., Carnegie-Mellon UNIV Pittsburgh PA Robotics INST, 1992. 77 I. M. Sobol’, “On the distribution of points in a cube and the approximate evaluation of integrals,” Zhurnal Vychislitel’noi Matematiki i Matematicheskoi Fiziki, vol. 7, no. 4, pp. 784–802, 1967. J. Sacks, W. J. Welch, T. J. Mitchell, and H. P. Wynn, “Design and analysis of computer experiments,” Statistical science, vol. 4, no. 4, pp. 409–423, 1989. N. Cressie, “The origins of kriging,” Mathematical geology, vol. 22, no. 3, pp. 239–252, 1990. Y.-C. Huang, A Modified Efficient Global Optimization Algorithm for Maximal Reliability within a Probabilistic Constrained Space. Master’s thesis, National Cheng Kung University, Tainan, Taiwan, 2009. Y.-C. Huang and K.-Y. Chan, “A modified efficient global optimization algorithm for maximal reliability in a probabilistic constrained space,” Journal of Mechanical Design, Transactions of the ASME, vol. 132, no. 6, pp. 0610021–06100211, 2010. C. R. Rao, C. R. Rao, M. Statistiker, C. R. Rao, and C. R. Rao, Linear statistical inference and its applications, vol. 2. Wiley New York, 1973. R. Jin, Enhancements of metamodeling techniques in engineering design. University of Illinois at Chicago, 2004. R. Jin, W. Chen, and T. W. Simpson, “Comparative studies of metamodelling techniques under multiple modelling criteria,” Structural and multidisciplinary optimization, vol. 23, no. 1, pp. 1–13, 2001.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80884-
dc.description.abstract建立有效的模擬模型是系統開發重要任務之一,如何透過模型驗證,確認模擬模型是否足以完整地表達真實系統,並且進一步探討兩者之間的差異,是工程領域重要的議題。模型驗證的準確性主要仰賴主觀判斷的圖象比較或客觀的假設檢定及信賴區間計算。以機械系統如車輛而言,系統輸出多數是時間相關的動態輸出或響應,圖像比較的準確性可能形成截然不同的觀點。因此,如何將動態輸出量化,建立有效衡量指標,是模型驗證欲探討的問題。 本研究建立一分析流程,將模擬結果與真實系統實驗所獲得的二維動態輸出軌跡,利用原始位置資訊序列與轉換後的角度資訊序列,透過加入鐘形閥值設計的歐式序列相似度度量,量化模擬與真實系統軌跡在仿射轉換與輪廓上的差異,建立複合量化指標。本研究以一線控三輪車作為分析對象之車輛工程案例,將差異量化指標應用在不確定參數估測上,透過操作四條任務軌跡並利用指標所建立的替代模型,有效縮小不確定參數的設計空間,提供模型修正資訊,藉以說明所提出差異量化方法的可行性。zh_TW
dc.description.provenanceMade available in DSpace on 2022-11-24T03:20:25Z (GMT). No. of bitstreams: 1
U0001-2309202115493500.pdf: 39413471 bytes, checksum: d61725c15c7a19f67c2fe2a07d585d94 (MD5)
Previous issue date: 2021
en
dc.description.tableofcontents誌謝 ii 中文摘要 vi Abstract vii 目錄 viii 圖目錄 xi 表目錄 xiii 符號列表 xv 第一章 緒論 1 1.1 前言 1 1.1.1 模型驗證(Validation) 2 1.1.2 軌跡差異量化重要性 3 1.2 研究動機 4 1.3 研究目的 4 1.4 論文架構 6 第二章 文獻回顧 8 2.1 車輛軌跡表示方式 8 2.1.1 軌跡描述與定義 8 2.1.2 原始資料軌跡與路網限制軌跡 9 2.1.3 角度資訊序列 11 2.2 序列相似度度量 13 2.2.1 歐式度量 14 2.2.2 動態時間歸整度量 14 2.2.3 最長共同子序列度量 15 2.2.4 實序列編輯距離度量 16 2.3 模擬模型與真實系統軌跡差異 18 2.4 小結 19 第三章 研究方法 20 2.1 研究流程 20 3.2 軌跡資料前處理 22 3.2.1 Savitzky-Golay 平滑化 22 3.2.2 等量等距插值 23 3.3 軌跡差異量化25 3.3.1 鐘形函式閥值 27 3.3.2 仿射轉換差異量化 29 3.3.3 輪廓差異量化 30 3.3.4 複合型指標建立 34 3.4 數學模型案例 35 3.4.1 開放型軌跡模型 35 3.4.2 封閉型軌跡模型 40 3.4.3 結果與討論 42 第四章 車輛工程案例建構 44 4.1 模擬模型與真實系統軌跡生成 46 4.1.1 車輛模型概述 46 4.1.2 取得模擬與真實軌跡 48 4.2 真實系統軌跡差異量化 52 4.2.1 軌跡資料前處理 52 4.2.2 仿射轉換差異量化 53 4.2.3 輪廓差異量化 53 4.2.4 複合指標生成 53 4.3 建立有效替代模型 54 4.3.1 建立初始取樣 54 4.3.2 建立替代模型 54 4.3.3 替代模型驗證 55 4.4 不確定參數估測 56 第五章 工程案例結果探討 57 5.1 無雜訊實驗結果 57 5.1.1 模擬與真實系統軌跡生成 57 5.1.2 真實系統軌跡差異量化結果 58 5.1.3 建立有效替代模型 59 5.1.4 不確定參數估測 61 5.2 具雜訊實驗結果 64 5.2.1 模擬與真實系統軌跡生成 64 5.2.2 真實系統軌跡差異量化結果 64 5.2.3 建立有效替代模型 66 5.2.4 不確定參數估測 67 5.3 結果與討論 69 第六章 結論 72 6.1 研究總結 72 6.2 未來工作 72 參考文獻 74
dc.language.isozh-TW
dc.subject模型驗證複合指標zh_TW
dc.subject模型驗證zh_TW
dc.subject軌跡相似度zh_TW
dc.subject仿射轉換差異zh_TW
dc.subject歐式度量zh_TW
dc.subject參數估測zh_TW
dc.subjectTrajectory similarityen
dc.subjectParameter Estimationen
dc.subjectEuclidean distanceen
dc.subjectAffine transformen
dc.subjectModel Validationen
dc.subjectComposite Indexen
dc.title複合型相似度指標於二維空間軌跡差異之分析與量化zh_TW
dc.titleA Composite Similarity Index in Analysis and Quantification of Two-dimensional Trajectoriesen
dc.date.schoolyear109-2
dc.description.degree碩士
dc.contributor.oralexamcommittee陳湘鳳(Hsin-Tsai Liu),蘇偉儁 (Chih-Yang Tseng)
dc.subject.keyword模型驗證,軌跡相似度,仿射轉換差異,歐式度量,參數估測,模型驗證複合指標,zh_TW
dc.subject.keywordModel Validation,Trajectory similarity,Affine transform,Euclidean distance,Parameter Estimation,Composite Index,en
dc.relation.page78
dc.identifier.doi10.6342/NTU202103321
dc.rights.note同意授權(限校園內公開)
dc.date.accepted2021-09-30
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept機械工程學研究所zh_TW
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