Towards Characterization of Driving Situations via Episode-Generating Polynomials

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Abstract

For the safety of highly automated driving it is essential to identify critical situations. The possible changes over time of a given situation have to be taken into account when dealing with criticality. In this paper, a method to generate trajectories with polynomials is considered. Thus, the trajectories can be tested and characterized analytically. With this approach it is possible to calculate a huge amount of feasible outcomes of a driving situation efficiently and therefore the criticality of the situation can be evaluated.

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Stumper, D., Knapp, A., Pohl, M., & Dietmayer, K. (2016). Towards Characterization of Driving Situations via Episode-Generating Polynomials. In Lecture Notes in Mobility (pp. 165–173). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-44766-7_14

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