This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Study on the Controlled Field Test Scenarios of Automated Vehicles
Technical Paper
2018-01-1633
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
Function and performance test of automated vehicles in the closed field is a necessary way to verify their safety, intelligence and comfort. The design and number of test scenarios will influence if the automated vehicles can be tested and evaluated effectively and fast. Based on the interrelationship among the vehicle, driver’s (or control system) driving strategy and road, we use the permutation and combination method to compare the relative position and movement relations between an automated vehicle (vehicle under test) and the surrounding vehicles to generate a total possible test scenarios group. According to the main functions features of L2 and L3 class automated vehicle, for each specified road traffic scenario, we proposed to generate a simple primary test scenario with test value firstly, then to increase the number of obstacle vehicles step by step, and to screen out the test scenarios of various levels with test value by analyzing the scenario importance and the impact analysis of the detection and response of the ego-vehicle, and finally obtain an overall test scenarios group with test significance. The method can ensure that the test scenario of the controlled venue test is a test condition that can effectively reflect the quality of the automated vehicle and can greatly reduce the number of test scenarios on the basis of wide coverage. Finally, the vehicle driving and position parameters in the test scenarios are designed according to the driver’s behavior characteristics, traffic rules, the typical vehicle speed, acceleration and deceleration in urban, suburban and highway conditions, the relevant data in traffic accident database and the simulation to form the test case in normal operating and pre-crash conditions. The paper also presents the parameters of the test conditions design cases and evaluation indicators.
Authors
Topic
Citation
Xie, F., Chen, T., Xia, Q., Huang, L. et al., "Study on the Controlled Field Test Scenarios of Automated Vehicles," SAE Technical Paper 2018-01-1633, 2018, https://doi.org/10.4271/2018-01-1633.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Unnamed Dataset 1 | ||
Unnamed Dataset 2 | ||
Unnamed Dataset 3 |
Also In
References
- Yan , X. New Economy Weekly 2015
- SAE International On-road Automated Vehicle Standards Committee 2014
- China Center for Information Industry Development Testing and Evaluation Technology for Intelligent and Connected Vehicles Post and Telecom Press 2017
- NHTSA 2016
- Kristofer , D.K. and Hampton , C.G. Re-Crash Scenarios for Determining Target Populations of Active Safety Systems SAE Technical Paper Number 13-0078 2013 10.4271/13-0078
- Jiangping , S. , Junyi , C. et al. Establishment and Analysis on Typical Road Traffic near Crash Scenarios Related to Pedestrian in China Traffic and Transportation 209 214 2017
- 2015
- 2017
- Guangming , X. , Xijun , Z. , Haiou , L. et al. Research on the Quantitative Evaluation System for Unmanned Ground Vehicles IEEE Intelligent Vehicles Symposium 43 523 527 2010
- Guangming , X. , Xijun , Z. , Haiou , L. et al. Research on the Quantitative Evaluation System for Unmanned Ground Vehicles IEEE Intelligent Vehicles Symposium 43 523 527 2010
- Jinwei , Z. and Luigi , D.R. Reduced Complexity Safety Testing for ADAS & ADF Ifac World Congress 50 1 5958 5990 2017
- Sebastian , S. and Martin , R. Systematic Use Case Driven Environmental Modeling for Early Validation of Automated Driving Functionalities Simulation and Testing for Vehicle Technology, Springer International Publishing 2016 10.1007/978-3-319-32345-9_26
- Ruben , S. and Torsten , S. Validation of Automated Driving Functions Simulation and Testing for Vehicle Technology, Springer International Publishing 2016 10.1007/978-3-319-32345-9_25
- Arda , K. , Michael , V. , Scott , B. , Özgunwer , Ü. et al. Testing of Intelligent Vehicles Using Virtual Environments and Staged Scenarios Advances in Intelligent Vehicles 33 45 64 2014 10.1016/B978-0-12-397199-9.00002-1
- Ding , Z. Accelerated Evaluation of Automated Vehicles Mechanical Engineering in the University of Michigan 2016
- Hans-Peter , S. and Wolfgang , H. Testing with Coordinated Automated Vehicles 2016 10.1007/978-3-319-09840-1_14-1
- Xin , L. Research on Virtual Traffic Scenario of Automated Vehicle Intelligent Behavior Validation Platform University of Science and Technology of China 2009
- Adrian , Z. , Felix , F. , Mohamed , B. , and Lutz , E. Evaluation of Automated Road Vehicles Springer International Publishing 2014 10.1007/978-3-319-05990-7_17