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Augmented reality versus classical HUD to take over from automated driving: An aid to smooth reactions and to anticipate maneuvers

机译:增强现实与传统HUD将从自动驾驶接手:有助于平滑反应并预期操纵

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The takeover phase from highly automated systems, when the transition phase is short (here 10s), is critical for the driver when he has been out of the driving loop. We conducted a simulator study on 26 drivers to compare three conditions: manual mode (MD), transition from automated driving (AD) to MD with a classical head up display (HUD), transition from (AD) to MD with an augmented reality (AR) HUD. In our scenarios, the driver has to take over to respect the navigation request for a lane change, and has to face slowing traffic in the destination lane. Compared to MD, driving behavior is altered in the transition phase up to 30s: the maximum speed on the brake pedal is higher, resulting acceleration being thus increased. AR reduces both these effects, thus improving driving comfort while facing slow traffic. AR also helps better anticipate the lane change maneuver: it increases the distance to the maneuver limit point. As such, the situational awareness seems to be improved by AR. Further analysis of eye tracking data and verbatim is needed to confirm this assumption based on driving data.
机译:当过渡阶段很短(此处为10s)时,高度自动化系统的接管阶段对于驾驶员脱离驾驶循环至关重要。我们对26位驾驶员进行了模拟器研究,比较了三种情况:手动模式(MD),从自动驾驶(AD)过渡到带有经典抬头显示器(HUD)的MD,从(AD)过渡到具有增强现实的MD( AR)HUD。在我们的方案中,驾驶员必须接管以尊重导航要求的车道变更,并且必须面对目标车道上缓慢的交通。与MD相比,在过渡阶段最多可改变30s的驾驶行为:制动踏板的最大速度更高,从而导致加速度增加。 AR减少了这两种影响,从而在面对缓慢交通的同时提高了驾驶舒适性。 AR还有助于更好地预测变道操纵:它增加了到操纵极限点的距离。这样,AR似乎可以提高态势感知能力。需要对眼动数据和逐字记录进行进一步分析,以基于驾驶数据来确认该假设。

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