自动驾驶系统中试验场的评估和比较方法

Nils Katzorke, Matthias Moosmann, Reiner Imdahl, H. Lasi
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引用次数: 4

摘要

汽车试验场目前面临着越来越复杂的测试需求,特别是在自动驾驶领域。因此,各种必要的测试基础结构也在增长。这对地面运营商不断满足需求提出了挑战。需求是快速采用现有的测试轨道,包括它的设施和测试基础设施组合的增强。商业试验场运营商通常努力提供广泛的测试轨道,以便他们的客户可以在一个地点进行大多数测试。客户忠诚度是试验场运营商成功的关键因素。足够多样的测试轨迹和测试基础结构是提高客户忠诚度的杠杆。本文提出了一种测量自动驾驶汽车测试需求满意度的方法。这允许与其他试验场进行基准测试。此外,该方法可用于识别当前投资组合与需求之间的差距。之后,可以制定行动计划以缩小这些差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Method to Assess and Compare Proving Grounds in the Context of Automated Driving Systems
Automotive proving grounds currently face an increasing complexity in testing requirements, especially in the field of automated driving. Thus, the variety of necessary test infrastructure grows. This challenges proving ground operators to constantly satisfy the demand. Requirements are a quick adoption of existing test tracks including its facilities and enhancements of the test infrastructure portfolio. Commercial proving ground operators usually strive to provide a broad set of test tracks so their customers can conduct most tests at one location. Customer loyalty is a key success factor for proving ground operators. A sufficient variety of test tracks and test infrastructure is a lever for customer loyalty. This paper provides a method to measure the quotient of testing demand satisfaction for automated vehicles. This allows benchmarking with other proving grounds. Furthermore, this method can be used to identify gaps between the current portfolio and the demand. Afterwards, action plans can be generated in order to close these gaps.
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