Automotive Engineering ›› 2021, Vol. 43 ›› Issue (4): 620-628.doi: 10.19562/j.chinasae.qcgc.2021.04.020
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Rong Wang1(),Yafu Sun2,Juan Song1
Received:
2020-07-07
Revised:
2020-09-26
Online:
2021-04-25
Published:
2021-04-23
Contact:
Rong Wang
E-mail:wangrong@cstc.org.cn
Rong Wang,Yafu Sun,Juan Song. Evaluation Method and Test Verification of Road Test Scenes for Autonomous Vehicles[J].Automotive Engineering, 2021, 43(4): 620-628.
1 | WANG R, SONG J, et al. Design and validation of a prototype underlying control system for autonomous vehicles[C]. SAE Paper 2019-01-5062. |
2 | JOSHUA L E, FRANK B, et al. A novel method to evaluate the safety of highly automated vehicles [J]. NHTSA, 2017, 17-0076. |
3 | WASSIM G N, DAVID L S. Definition of a pre-crash scenario typology for vehicle safety research[J]. NHTSA, 2017, 07-0412. |
4 | BRÜHNING B, et al. Code of practice for evaluation of road traffic accidents[M]. Berlin: German Insurance Association, 2006. |
5 | HERMAN W. Automated vehicle symposium San Francisco[C]. San Francisco: FZD, 2016. |
6 | 智能网联汽车道路测试管理规范(试行) [S]. 北京:工业和信息化部、公安部、交通运输部,2018. |
Management standard for automated and connected vehicles road test(trial implementation)[S].Beijing: Ministry of Industry and Information Technology, Ministry of Public Security, Ministry of Transportation, 2018. | |
7 | 智能网联汽车自动驾驶功能测试规程 [S]. 北京:中国智能网联汽车产业创新联盟、全国汽标委智能网联汽车分技术委员会,2018. |
Test procedure for intelligent and connected vehicle self-driving function[S]. Beijing: China Intelligent and Connected Vehicle Industry Innovation Alliance, National Automotive Standards Commission Intelligent and Connected Vehicle Sub-Technical Committee, 2018. | |
8 | 自动驾驶车辆测试道路要求 [S]. 北京:中关村智通智能交通产业联盟,2019. |
Road test requirements for self-driving vehicles[S]. Beijing: Zhongguancun Intelligent Transportation Industry Alliance, 2019. | |
9 | 张昕. 无人车通过特殊区域智能行为评价研究[D].北京: 北京理工大学机械与车辆学院, 2015. |
ZHANG X. Research on evaluation of intelligent behaviors through specials areas for unmanned ground vehicles[D]. Beijing: Beijing Institute of Technology Mechanical Engineering Department,2015. | |
10 | 王云鹏. 交通环境对道路安全影响的定量评价[J]. 吉林大学学报,2006,36(1):119-122. |
WANG Y P. Quantitative assessment of influence of traffic environment on road safety[J]. Journal of Jilin University, 2006, 36(1):119-122. | |
11 | TILL M, GERRIT B, MARKUS M. Scenarios for development, test and validation of automated vehicles [J]. IEEE, 2018, 04-27 |
12 | GALEN E M, PAUL G S, SATYANDRA K G. Automated generation of diverse and challenging scenarios for test and evaluation of autonomous vehicles [C]. IEEE International Conference on Robotics and Automation, Singapore, 2017, 978-1-5090. |
13 | 北京市自动驾驶车辆道路测试报告(2019年)[R].北京智能车联产业创新中心,2020. |
Road test report of self-driving vehicles in Beijing (2019)[R]. Beijing Intelligent Vehicle Association Industry Innovation Center,2020. | |
14 | TANG I, BRECKON T P. Automatic road environment classification[J]. IEEE Transactions on Intelligent Transportation Systems, 2011, 12(2):476-484. |
15 | NAUMANN M, LAUER M, STILLER C. Generating comfortable, safe and comprehensible trajectories for automated vehicles in mixed traffic, international conference on intelligent transportation systems [C]. ITSC, 2018. |
16 | TLIG M, MACHIN M, KERNEIS R, et al. Autonomous driving system: model based safety analysis[C]. 2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), Luxembourg, 2018. |
17 | ZHANG X, ZHAO Y, GAO L, et al. Evaluation framework and method of the intelligent behaviors of unmanned ground vehicles based on AHP scheme[J].Applied Mechanics and Materials, 2015,721: 476-480. |
18 | SUN Y, TAO G, XIONG G M, et al. The fuzzy⁃AHP evaluation method for unmanned ground vehicles [J]. Applied Mathematics & Information Sciences, 2013,7(2): 653-658. |
19 | 陈韬, 蔡博, 回春. 基于场景元素的智能网联汽车场景构建研究[J]. 公路与汽运, 2019(6):9-12. |
CHEN T, CAI B, HUI C. Research on the construction of intelligent and connected vehicle scenarios based on scenario elements[J]. Highway and Automotive Applications, 2019(6):9-12. | |
20 | 自动驾驶车辆道路测试能力评估与方法 :T/CMAX116-01-2018 [S]. 北京:中关村智通智能交通产业联盟,2018. |
Road test capability evaluation and method of self⁃driving vehicles :T/CMAX116-01-2018 [S]. Beijing: Zhongguancun Intelligent Transportation Industry Alliance,2018. | |
21 | 刘峰涛, 贺国光. 基于近似熵和统计复杂度的交通流复杂性测度[J]. 中国公路学报, 2007,20(4):108-112. |
LIU F T, HE G G. Complexity measure of traffic flow based on approximate entropy and statistical complexity[J]. China Journal of Highway and Transport, 2007,20(4):108-112. | |
22 | 张海潮. 基于引力模型的道路交通环境复杂度研究[D]. 北京:北京理工大学, 2016. |
ZHANG H C. Research on complexity of road traffic environment based on gravity model[D]. Beijing: Beijing Institute of Technology, 2016. | |
23 | 许虔虔. 驾驶人员风险引力模型优化及应用研究[D]. 昆明:昆明理工大学, 2017. |
XU Q Q. Research on optimization and application of driver risk gravitation model[D]. Kunming: Kunming Institute of Technology, 2017. |
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