Reference:
E. de Gelder, J.-P. Paardekooper, O. Op den Camp, and B. De Schutter, "Safety assessment of automated vehicles: How to determine whether we have collected enough field data?," Traffic Injury Prevention, vol. 20, pp. S162-S170, 2019.Abstract:
Objective: The amount of collected field data from naturalistic driving studies is quickly increasing. The data are used for, amongst others, developing automated driving technologies (such as crash avoidance systems), studying driver interaction with such technologies, and gaining insights into the variety of scenarios in real-world traffic. Since the collection of data is time consuming and requires high investments and resources, questions like “do we have enough data?”, “how much more information can we gain when obtaining more data?”, and “how far are we from obtaining completeness?” are highly relevant. In fact, deducing safety claims based on collected data, e.g., through testing scenarios based on collected data, requires knowledge about the degree of completeness of the data used. We propose a method for quantifying the completeness of the so-called activities in a dataset. This enables us to partly answer the aforementioned questions.Downloads:
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