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Robust, Marker-Based Head Tracking for Testing Cognitive Vehicles in the Loop

机译:基于标记的基于标记的头部跟踪,用于测试循环中的认知车辆

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One of the great challenges for the release of automated vehicles is the verification and evaluation of their cognitive skills. Therefore, Vehicle-in-the-loop testing provides an adequate tool, combining real test drives with simulations. In this paper we present our innovative Vehicle-in-the-loop framework: First, a marker-based head tracking is presented, which is able to track the driver's head in presence of vehicle's movement and illumination influences. Second, we present our realization based on the Open-Source framework ROS with an exemplary coupling to the professional simulation tool CarMaker. Finally, we evaluate our approach in different driving scenarios.
机译:自动化车辆发布的巨大挑战之一是对其认知技能的验证和评估。 因此,车载循环测试提供了一种适当的工具,将实际测试驱动器与模拟相结合。 在本文中,我们介绍了我们创新的车载轴承框架:首先,提出了一种基于标记的头部跟踪,能够在车辆的运动和照明影响的存在下跟踪驾驶员头部。 其次,我们基于开源框架ROS的实现,具有与专业仿真工具制造商的示例性耦合。 最后,我们在不同的驾驶场景中评估我们的方法。

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