基于Panosim的场景自动生成方法研究

Zhang Lu, Zhibin Du, Xianglei Zhu
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引用次数: 1

摘要

随着科技的发展,L3级智能汽车正逐步进入量产阶段。传统的测试工具和方法难以满足自动驾驶汽车对多维度、高标准、大数据的要求。基于场景的仿真测试方法在测试效率、验证成本和通用性方面具有很大的技术优势,是自动驾驶测试验证的重要手段。但存在场景构建周期长、可重复性大等缺点。本文是在对自动驾驶仿真软件Panosim进行二次开发的基础上编写的,通过数字孪生技术实现场景的自动输入和参数的快速调整。此外,使用中国汽车技术研究中心的自然驾驶场景数据库进行验证。结果表明,该方法提高了场景构建的效率和准确性,大大缩短了仿真测试的周期。
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Research on Automatic Generation Method of Scenario Based on Panosim
With the development of science and technology, L3 intelligent vehicles are gradually entering the mass production phase. Traditional testing tools and methods can hardly meet the requirements for multiple dimensions, high standard and big data of self-driving vehicles. The scenario-based simulation test method has great technical advantages in terms of test efficiency, verification cost and versatility, and is an important means for automatic driving test verification. However, it has shortcomings such as long scenario construction period and large repeatability. This paper is compiled based on secondary development of the automatic driving simulation software Panosim and presenting the automatic inputting of scenario and rapid adjustment of parameters through the digital twinning technology. In addition, the natural driving scenario database of China Automotive Technology and Research Center is used for verification. The results show that this method can improve the efficiency and accuracy of scenario construction, and greatly shorten the cycle of simulation test.
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