Virtual Testing of Front Camera Module

Author:

Elbaz Elsaiid Moataz,Kalliman Samuel,Kral Jiri

Abstract

<div class="section abstract"><div class="htmlview paragraph">The front camera module is a fundamental component of a modern vehicle’s active safety architecture. The module supports many active safety features. Perception of the road environment, requests for driver notification or alert, and requests for vehicle actuation are among the camera software’s key functions. This paper presents a novel method of testing these functions virtually. First, the front camera module software is compiled and packaged in a Docker container capable of running on a standard Linux computer as a software in the loop (SiL). This container is then integrated with the active safety simulation tool that represents the vehicle plant model and allows modeling of test scenarios. Then the following simulation components form a closed loop: First, the active safety simulation tool generates a video data stream (VDS). Using an internet protocol, the tool sends the VDS to the camera SiL and other vehicle channels. The camera SiL performs its functions (e.g., object detection, active safety functions) and provides output (e.g., braking request) to the active safety simulation tool. The vehicle plant model updates the vehicle state (e.g., applies braking). The vehicle’s position is updated in the context of the test scenario, and a new VDS frame is generated. Preliminary results are presented and discussed along with potential uses of this simulation setup in vehicle active safety development.</div></div>

Publisher

SAE International

Reference10 articles.

1. TM https://www.mobileye.com/solutions/super-vision/

2. https://www.qualcomm.com/news/releases/2022/01/qualcomm-introduces-snapdragon-ride-vision-system-open-and-scalable/

3. Gupta , A. , Anpalagan , A. , Guan , L. , and Khwaja , A.S. 2021 https://doi.org/10.1016/j.array.2021.100057

4. https://machinelearning.apple.com/research/gan

5. https://blogs.nvidia.com/blog/2021/06/08/what-is-synthetic-data/

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3