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Real time driver body pose estimation for novel assistance systems

机译:新型辅助系统的驾驶员身体姿势实时估计

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The trend towards increasing automation turns the drivers of modern cars more and more into passengers. This increases the scope of potential secondary tasks and increases distraction. For safety reasons cars should therefore be aware of the situation in their interior to be able to evaluate the drivers readiness to assume control. We present an algorithm that can accurately detect the 3D upper body pose of the driver in real time with a single depth camera. We show that it can determine the upper body pose in various real driving situations and with different secondary tasks. We propose that our algorithm can be a building block for various advanced driver observation systems for automated cars.
机译:自动化程度不断提高的趋势使现代汽车的驾驶员越来越多地变成了乘客。这增加了潜在的次要任务的范围,并增加了注意力。出于安全原因,因此,汽车应注意其内部状况,以便能够评估驾驶员是否愿意采取控制措施。我们提出了一种算法,该算法可以使用单个深度相机实时准确地检测驾驶员的3D上身姿势。我们证明了它可以在各种实际驾驶情况下以及具有不同次要任务的情况下确定上身姿势。我们建议,我们的算法可以成为自动驾驶汽车的各种高级驾驶员观察系统的基础。

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