[41] R. P. W. Duin, “On the choice of smoothing parameters for Parzen estimators of probability density functions,” IEEE Trans. Comput. , vol. C-25, no. 11, pp. 1175–1179, Nov. 1976.
[43] A. Gramacki, Nonparametric Kernel Density Estimation Its Comput. Aspects , J. Kacprzyk, Ed. Cham, Switzerland: Springer, 2018.
[44] Y. Rubner, C. Tomasi, and L. J. Guibas, “The earth mover’s distance as a metric for image retrieval,” Int. J. Comput. Vis. , vol. 40, no. 2, pp. 99–121, Nov. 2000.
[45] M. Sommerfeld and A. Munk, “Inference for empirical Wasserstein distances on finite spaces,” J. Roy. Stat. Soc., Ser. B Stat. Methodol. , vol. 80, no. 1, pp. 219–238, Jan. 2018.
[46] J.-P. Paardekooper et al. , “Automatic identification of critical scenarios in a public dataset of 6000 km of public-road driving,” in 26th Int. Tech. Conf. Enhanced Saf. Veh. (ESV) , 2019, pp. 1–8. [Online]. Available:
[47] J. Elfring, R. Appeldoorn, S. van den Dries, and M. Kwakkernaat, “Effective world modeling: Multisensor data fusion methodology for automated driving,” Sensors , vol. 16, no. 10, pp. 1–27, 2016.
[48] E. de Gelder, J. Manders, C. Grappiolo, J.-P. Paardekooper, O. Op den Camp, and B. De Schutter, “Real-world scenario mining for the assessment of automated vehicles,” in Proc. Int. Transp. Syst. Conf. (ITSC) , 2020, pp. 1073–1080.
[49] B. Doerr and A. M. Sutton, “When resampling to cope with noise, use median, not mean,” in Proc. Genetic Evol. Comput. Conf. , Jul. 2019, pp. 242–248.
[50] B. Efron, “Bootstrap methods: Another look at the jackknife,” in Breakthroughs Statistics . New York, NY, USA: Springer, 1992, pp. 569–593.
[51] S. Siegel, “Nonparametric statistics,” Amer. Stat. , vol. 11, no. 3, pp. 13–19, Jun. 1957.
[52] R. Y. Rubinstein and D. P. Kroese, Simulation Monte Carlo Method . Hoboken, NJ, USA: Wiley, 2016.
[53] S. Jesenski, N. Tiemann, J. E. Stellet, and J. M. Z?llner, “Scalable generation of statistical evidence for the safety of automated vehicles by the use of importance sampling,” in Proc. 23rd Int. Conf. Intell. Transp. Syst. (ITSC) , 2020, pp. 1–8.
[54] Y. Xu, Y. Zou, and J. Sun, “Accelerated testing for automated vehicles safety evaluation in cut-in scenarios based on importance sampling, genetic algorithm and simulation applications,” J. Intell. Connected Veh. , vol. 1, no. 1, pp. 28–38, Oct. 2018.
[55] M. P. Holmes, A. G. Gray, and C. Lee Isbell, “Fast nonparametric conditional density estimation,” 2012, arXiv:1206.5278 .
[56] M. Althoff, M. Koschi, and S. Manzinger, “CommonRoad: Composable benchmarks for motion planning on roads,” in Proc. IEEE Intell. Veh. Symp. (IV) , Jun. 2017, pp. 719–726.
[57] M. Treiber, A. Hennecke, and D. Helbing, “Congested traffic states in empirical observations and microscopic simulations,” Phys. Rev. E, Stat. Phys. Plasmas Fluids Relat. Interdiscip. Top. , vol. 62, no. 2, pp. 1805–1824, Aug. 2000.
[58] A. Kesting, M. Treiber, and D. Helbing, “General lane-changing model MOBIL for car-following models,” Transp. Res. Rec. , vol. 1999, pp. 86–94, Jan. 2007.
[59] W. Wang, C. Liu, and D. Zhao, “How much data are enough? A statistical approach with case study on longitudinal driving behavior,” IEEE Trans. Intell. Veh. , vol. 2, no. 2, pp. 85–98, Jun. 2017.
[60] I. J. Goodfellow et al. , “Generative adversarial nets,” in Proc. 27th Int. Conf. Neural Inf. Process. Syst. (NIPS) , vol. 2, 2014, pp. 2672–2680.
【自动驾驶汽车场景测评参数生成方法及代表性指标】[61] A. Borji, “Pros and cons of GAN evaluation measures,” Comput. Vis. Image Understand. , vol. 179, pp. 41–65, Feb. 2019
以上关于本文的内容,仅作参考!温馨提示:如遇专业性较强的问题(如:疾病、健康、理财等),还请咨询专业人士给予相关指导!
「辽宁龙网」www.liaoninglong.com小编还为您精选了以下内容,希望对您有所帮助:- 什么是自动清算所
- 近万元的匹克鞋!《流浪地球》加持,3D技术+自动系带,匹克芜湖起飞?
- 汽车年检需要多少钱 年检需要多少钱
- 北京汽车过户需要什么手续 2022年详细流程
- 汽车保险怎么买?
- 汽车如何检修正时链条和链轮?
- 1 考虑关于清洁空气和汽车运输来自的生产可能性边界。 解释为什么未被管制的汽车尾气污染会使国婷间解语可都稳陆甚将民经济处在生产可能性之内...
- 机械设计制造与自动化专业具体学习什么课程?
- 养车小知识,汽车保险怎么买合适?
- 预付费智能电表一户一表、远程自动抄表、电费预充值-安科瑞黄安南