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摘要
Facing different test calibration requirements and emphases of the safety of the intended functionality（SOTIF）scene for autonomous vehicles（AVs），a risk assessment method of SOTIF scene based on driving safety field（DSF）theory is proposed in this paper. Firstly，DSF is utilized to conduct risk quantification on each layer of scene elements，and hence to achieve integrated risk calculation. The definition，architecture of SOTIF scene，and the parameters of DSF model are analyzed to prove that DSF model meets the risk assessment requirements of SOTIF scene. Then，the method proposed is applied to divide the vehicle operation scenes into three types：known safe，known unsafe and unknown safe/unsafe. For realizing scene division，different driving states in DSF theory are matched with the operational scenes of vehicles in SOTIF. Finally，closed field tests and road tests are carried out. On one hand，the relative driving safety indicator（RDSI）is compared with time-to-collision（TTC）to verify that RDSI can more accurately and sensitively assess the driving risk. On the other hand，it is proved that the method proposed can effectively fulfill scene division. ? 2022 SAE-China.
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