Simulating ADAS Sensors, their Placement and Environment

J. Rýmus
{"title":"Simulating ADAS Sensors, their Placement and Environment","authors":"J. Rýmus","doi":"10.23919/ae.2019.8867002","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":177095,"journal":{"name":"2019 International Conference on Applied Electronics (AE)","volume":"168 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Applied Electronics (AE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ae.2019.8867002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

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.
模拟ADAS传感器,其位置和环境
随着自动驾驶汽车的出现,汽车制造商越来越多地参与到主动安全和高级驾驶辅助系统的开发中。这些系统是复杂电子设备的一部分,包括传感器、微控制器、电缆线束,将占总制造成本的40%。今天,虚拟样机是开发过程中不可或缺的一部分,确保快速创新周期和最小化成本。提出了一种多尺度混合策略来模拟先进驾驶辅助系统(ADAS)在短雷达距离(SRR)和长雷达距离(LRR)下的性能。SRR设备(典型的盲点/死角雷达)工作在24 GHz频段,而用于自适应巡航控制系统的LRR设备则使用77 GHz频段。传感器本身使用FDTD或MoM/MLFMM方法建模。然后,利用物理光学(PO)计算了相关的电磁环境。专用PO升级用于处理传感器前面的塑料部件(保险杠,前格栅)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信