@inproceedings{ccb92eace82044b5920004107ea26b93,
title = "Research on the accuracy analysis method of intelligent driving simulation test data",
abstract = "Compared with the closed site and open road test, the simulation test is easier to realize the high mileage acceleration test extreme scenario test, and the test parameters can be flexibly changed, which is very suitable for the verification requirements of the intelligent driving system with high dynamic and high randomness, and is an important part of the intelligent driving test method system. In the practical application, it is significant to prove that the simulation test accurately reduces the real vehicle test. However, there is no correlation analysis method of intelligent driving system simulation and real vehicle test data to support the accuracy analysis of simulation tests. This paper proposes a correlation analysis method of intelligent driving system simulation and real vehicle test data, analyzes the correlation between simulation and real vehicle test based on the pedestrian collision warning system test, and verifies the feasibility of the method.",
keywords = "Accuracy analysis, Randomness, Real vehicle, Simulation test",
author = "Yingdong Zheng and Zhiqiang Zhang and Xiaojun Yu and Ge Qu",
note = "Publisher Copyright: {\textcopyright} 2024 SPIE.; 9th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2024 ; Conference date: 24-05-2024 Through 26-05-2024",
year = "2024",
doi = "10.1117/12.3040370",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Jinsong Wu and Jinsong Wu and Azanizawati Ma'aram",
booktitle = "Ninth International Conference on Electromechanical Control Technology and Transportation, ICECTT 2024",
address = "United States",
}