Abstract
Driving at urban intersections is a very tough issue due to the complexity of the scenario. The driver is required to understand the traffic rules, predict the motion of other vehicles and, accordingly, make the proper decision. In this sense, automated driving systems in such environments become an important objective from a research point of view. Particularly, understanding the surrounding of the ego vehicle represents a challenging task. In this paper we propose an approach that simplifies the interpretation of the scenario. This concept aims to break down the whole maneuver in a set of primary situations. Accordingly, this facilitates the decision making at intersection and the following planning along the desired driving corridor.
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Lopez, D.P., Waldmann, R., Joerdens, C., Rojas, R. (2019). Scenario Interpretation for Automated Driving at Intersections. In: Donnellan, B., Klein, C., Helfert, M., Gusikhin, O., Pascoal, A. (eds) Smart Cities, Green Technologies, and Intelligent Transport Systems. SMARTGREENS VEHITS 2017 2017. Communications in Computer and Information Science, vol 921. Springer, Cham. https://doi.org/10.1007/978-3-030-02907-4_9
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DOI: https://doi.org/10.1007/978-3-030-02907-4_9
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