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In a remarkably short time, advanced driver assistance systems (ADAS) have become a major driver of innovation in the auto industry: It is expected that autonomous vehicles will profoundly change the very definition of mobility. In addition to mastering technical challenges, increasing automation requires a significant amount of testing and thus a huge investment in test resources. This poses a serious cost factor for existing companies and a high entry barrier for new market entrants. In addition, strong demand for engineers worldwide also makes it difficult to allocate sufficient manpower. Consequently, tests are often performed by teams with limited experience and high staff turnover. To reduce test duration while ensuring high levels of quality and a focus on the most relevant aspects, this paper presents a new method for creating efficient test strategies which builds on the well-known SWOT analysis and extends its use to ADAS-related scenarios. The ADAS SWOT analysis provides a structured process which facilitates the identification of risks and opportunities associated with new technology and assesses its impact on ADAS products from a customer perspective. The method has been tailored to fit the needs of research and advance development and helps increase both product quality and time-to-market.

The ADAS SWOT Analysis - A Strategy for Reducing Costs and Increasing Quality in ADAS Testing