基于Prescan的自然驾驶场景构建与研究

Natural Driving Scenario Based on Prescan

文章主要描述基于Prescan软件对实车的自然驾驶场景片段转换成虚拟场景,用于ADAS或自动驾驶模拟测试。通过配备毫米波雷达、相机、Mobileye摄像头等传感器采集道路驾驶数据,提取场景片段,转化成虚拟软件中相应的实车场景,用于HIL或MIL测试,可实现重复性测试,降低测试成本,模拟恶劣天气等状况,复现实车测试状态等测试优点。

This article mainly describes the conversion of natural driving date into virtual scenes based on Prescan software for ADAS or autonomous driving simulation tests.By equipped with millimeter wave radar,camera,Mobileye camera and other sensors to collect road driving data,extract scene fragments,and transform them into virtual scenes by Prescan software for HIL or MIL testing,which can achieve repeatable testing,reduce testing costs,and simulate severe weather and other conditions,test advantages such as real-world vehicle test conditions are reproduced.