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Heterogeneous data fusion to control a predictive bending light

机译:异构数据融合以控制预测性弯曲光

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About 90 percent of the information which is necessary in order to ensure a safe handling of a vehicle is based on visual effects.[ECK93] assumes that in about 50 percent of all traffic accidents the optical recognition plays a significant role.A variety of different authors shows,that driving through bends during nighttime presents the highest risk potential.This statement is confirmed by [SCH03] as well,according to whom the highest potential risk for an accident is to find on rural roads especially in bends.The rate of bends on German rural roads equals about 32.7 percent.Based on the above mentioned facts a predictive bending light provides a further improvement of visibility conditions in about one third of all situations which may occur during a night drive.The main objective of the predictive bending light is to improve the reduced visibility just before entering a bend.However,a problem with swiveling headlamps exists in so called S-shaped-bends.Right before reaching the inflection point the light is-due to the nature of the system-swiveled into the opposite direction,what reduces the visibility distance even more.The reason for this behavior is to find in the car's disability to predict the course of the road ahead,a bend cannot be detected prior to passing through it.Today's AFS-Systems operate based on the actual driving conditions such as the current steering wheel angle but not based on a trajectory which the car may pass through.The solution for this problem is to find in the application of anticipatory sensors enabling the predictive control of the headlamps.In this case,navigation and camera (lane-information) data are used in order to calcu-late the car's most probable path.An additional advantage is realized regarding the driver's line of sight.According to [Ewe02] a headlamp system helps even more,when the driver's line of sight behavior at nighttime equals the behavior at daytime.This can be realized by applying a predictive lighting control.In order to drive a vehicle even safer through the night it is necessary to provide an optimal visibility at all situations.
机译:确保视觉安全处理车辆所需的信息中,约有90%是基于视觉效果的。[ECK93]假定,在所有交通事故中约有50%,光学识别起着重要的作用。作者表明,夜间穿越弯道具有最高的潜在风险。[SCH03]也证实了这一说法,根据谁的说法,发生事故的最高潜在风险是在乡村道路上,尤其是在弯道中。在德国乡村道路上行驶的汽车大约占32.7%。基于上述事实,预测弯道灯可在夜间行驶期间可能发生的所有情况的三分之一中进一步改善可见度条件。预测弯道灯的主要目的是以改善进入弯道之前的可见性。但是,所谓的S形弯头存在旋转大灯的问题。根据系统的性质,光线指向相反的方向,从而进一步减少了可见距离。这种行为的原因是发现汽车的残障情况可以预测前方道路的走向,弯道在通过弯道之前无法检测到。今天的AFS系统基于实际驾驶条件(例如当前方向盘转角)运行,而不是基于汽车可能通过的轨迹运行。解决此问题的方法是在在这种情况下,使用导航和摄像头(车道信息)数据来计算汽车最可能的路径。在驾驶员的行车路线上实现了另一个优势。根据[Ewe02],当驾驶员夜间的视线行为与白天的视线行为相同时,前照灯系统会提供更大的帮助。这可以通过应用预测性照明控制来实现。为了在夜间更安全地驾驶车辆,有必要在所有情况下提供最佳视野。

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