A Simulation Method for LIDAR of Autonomous Cars

Su, Hu; Wang, Rui; Chen, Kaixin; Chen, Yizhan

doi:10.1088/1755-1315/234/1/012055

Cited by 2 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The new generation of research and technological with industrial revolution change the world rapidly. 'intelligent vehicle innovation and development strategy' has issued for the development of Chinese smart car and pointed out the R&D direction [1]. The forward development and commercialization of autonomous vehicles should relied on the scientific test and evaluation tool chain.…”

Section: Introductionmentioning

confidence: 99%

Research on consistency of digital twin test method and real vehicle site validation for intelligent vehicle

Zhao

Wu²,

Tang³

et al. 2023

Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022)

View full text Add to dashboard Cite

With the development and commercialization of smart transportation, the road safety of intelligent connected vehicle has attracted much attention. The test and evaluation report are the solid evidence for verifying the safety of ICV. At present, the digital twin test plays an important role for ICV with low-cost and high efficiency, which has become a research hot pot. However, one of challenge of digital twin test is the consistency between the simulation and real-world. In this paper, a solution of digital twins is put forward to reduce the gap of the consistency. Firstly, the digital twin test platform is built, with the construction of automatic digital twin system. Then, a site test is built with a set of evaluation metrics. Finally, the solution is executed under three typical working conditions, and the result shows that the closed-loop simulation test of digital twin simulation platform is feasible, and the consistency is highly achieved. The research and platform provide pattern for the implementation of ICV digital twin test.

show abstract

Section: Introductionmentioning

confidence: 99%