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: Schulze, T., Müller, B., Meyer, G. (eds) Advanced Microsystems for Automotive Applications 2016. Lecture Notes in Mobility. Springer, Cham. https://doi.org/10.1007/978-3-319-44766-7_14
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DOI: https://doi.org/10.1007/978-3-319-44766-7_14
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