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arXiv 2103.01288cs.SEcs.RO

Automatic Generation of Challenging Road Networks for ALKS Testing based on Bezier Curves and Search

Graz University of Technology(格拉茨工业大学);Institute for Software Technology(软件技术研究所);Christian Doppler Laboratory for Quality Assurance Methodologies for Autonomous Cyber-Physical Systems(克里斯蒂安·多普勒自主网络物理系统质量保障方法实验室)

Florian Klück, Lorenz Klampfl, Franz Wotawa

英文摘要:

In this paper, we outline an approach for automatic generation of challenging road networks for virtual testing of an automated lane keep system. Based on a set of control points, we construct a parametric curve that represents a road network, which defines the dynamic driving task an automated lane keep system equipped vehicle has to perform. Changing control points has global influence on the resulting road geometry. Our approach uses search to find a set of control points that results in a challenging road geometry, eventually forcing the vehicle to leave the intended path. We evaluated our approach in three different search-configurations regarding test efficiency and practical applicability for automatic virtual testing of an automated lane keep system.

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