基于NI EVS和PXI的机器视觉驾驶辅助系统开发技术研究

发布时间：2017-12-27 09:02

本文关键词：基于NI EVS和PXI的机器视觉驾驶辅助系统开发技术研究　出处：《国外电子测量技术》2016年02期 　论文类型：期刊论文

更多相关文章： ADAS 机器视觉 实时仿真 虚拟测试

【摘要】：开发基于机器视觉的驾驶辅助系统时,需考虑多种外界因素,导致算法复杂、代码繁多。而开发初期,由于安全因素,又难以直接进行实车试验,无法得到有效验证。针对以上问题,本文提出一种基于NI EVS和PXI的机器视觉驾驶辅助系统的快速开发及测试方案。EVS嵌入式视觉系统适合快速检测及大型图像处理,能连接多架相机,并实现同步检测。借助LabVIEW编程语言及VDM编程模块可快速实现要求的识别功能,使机器视觉产品的开发更加高效。基于PXI的实时仿真平台,结合虚拟现实软件CarMaker,通过VeriStand集成整个测试系统,构建出真实有效的虚拟测试场景,实现机器视觉功能的全面、有效和可重复的测试。
[Abstract]:The development of a driver aided system based on machine vision needs to consider a variety of external factors, which leads to the complexity of the algorithm and the wide range of code. In the early stage of development, because of the safety factors, it is difficult to carry out the real vehicle test directly, so it can not be effectively verified. In view of the above problems, this paper proposes a rapid development and test scheme for the machine vision driving assistant system based on NI EVS and PXI. EVS embedded vision system is suitable for fast detection and large image processing. It can connect multiple cameras and realize synchronous detection. With the help of the LabVIEW programming language and the VDM programming module, the required recognition function can be realized quickly, so that the development of the machine vision product is more efficient. The real-time simulation platform based on PXI combines virtual reality software CarMaker with VeriStand to integrate the whole test system, and constructs a real and effective virtual test scenario, realizing the comprehensive, effective and repeatable testing of machine vision function.
【作者单位】：重庆大学;
【基金】：重庆市科技计划(cstc2015zdcy-ztzx60005)项目汽车噪声振动和安全技术国家重点实验室开放基金(NVHSKL-201413)项目资助
【分类号】：TP391.41
【正文快照】： 1引言基于机器视觉的驾驶辅助系统旨在提高驾驶员的环境感知能力,通过监测外界环境,并在非安全情况及时向驾驶员发出预警,从而使人-车-路系统更加稳定、安全、可靠[1],提高汽车的安全性能。开发基于机器视觉的驾驶辅助系统时,需要面对以下难点:1)系统算法复杂,代码繁多。机器

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