Abstract
At the moment, ICV performance test method doesn’t exist yet under the complex weather conditions, the revolution of ICV is greatly limited. By studying the weather environment that influence ICV, the meteorological indicators which influence ICV performance will be acquired. Then by analyzing the main complex meteorological factors, their scene characteristics and main control indexes are given. It provides a basis for the construction of the complex weather scene and the research of the test method of ICV under the complex weather condition.
Highlights
With the development of advanced technology, the automobile industry is becoming more and more artificial intelligence
The management specification claimed that test vehicles shall be fully tested in specific closed areas and verified its 14 self-driving functions by the third-party testing institution, the self-driving road test application can be permited
The test field demonstration area is very homogeneous, and the test mostly focuses on the routine road test
Summary
With the development of advanced technology, the automobile industry is becoming more and more artificial intelligence. There is no standard test method and flow for ICV performance under the complex weather conditions, which has greatly limited to the promotion and application of ICV [1]. By analyzing ICV performance under the complex weather conditions, it is helpful to compare the industry data and build the database, it promotes the development of ICV testing technique. Strong illumination or luminosity transient, video images will appear mold, distortion For this reason, the fog, rain, snow and illumination are the main influencing factors for the camera sensor. It's same with the laser radar, its transmission speed is greatly affected by the weather, especially in rainy days, it can not accurately measure the distance For this reason, the fog, rain and snow are the main influencing factors for the ultrasonic radar.
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