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Simulating ADAS Sensors, their Placement and Environment

机译:模拟ADAS传感器,它们的放置和环境

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With the advent of autonomous vehicles, carmakers are increasingly involved in developments of Active Safety and Advanced Driver Assistance Systems. Those systems are part of complex electronic equipment, that – with its sensors, microcontrollers, cable harnesses – will represent up to 40% of the total manufacturing cost. Today, virtual prototyping is integral part of development process, assuring fast innovation cycles and minimizing costs. A multiscale hybrid strategy is proposed to simulate Advanced Driver Assistance Systems (ADAS) in both Short Radar Range (SRR) and Long Radar Range (LRR). While SRR devices (typically blind spot/dead-angle radars) are operating at 24 GHz, the LRR devices used for Adaptive Cruise Control systems are utilizing the 77 GHz band. The sensor itself is modeled using FDTD or MoM/MLFMM methods. Then, the related electromagnetic environment is computed by means of Physical Optics (PO). Dedicated PO upgrades are utilized to handle plastic parts (bumper, front grille) in front of a sensor.
机译:随着自治车辆的出现,汽车制造商越来越多地参与了主动安全和先进的驾驶员援助系统的发展。这些系统是复杂电子设备的一部分,即 - 通过其传感器,微控制器,电缆线束 - 占总制造成本的40%。如今,虚拟原型设计是开发过程的组成部分,确保快速创新周期和最小化成本。建议在短雷达范围(SRR)和长雷达范围(LRR)中模拟高峰混合策略以模拟高级驾驶辅助系统(ADAS)。虽然SRR设备(通常是盲点/死角雷达)在24 GHz工作时,用于自适应巡航控制系统的LRR设备利用77 GHz频段。传感器本身使用FDTD或MOM / MLFMM方法进行建模。然后,通过物理光学(PO)计算相关电磁环境。专用的PO升级用于处理传感器前面的塑料部件(保险杠,前格栅)。

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