Trial lane for simulating driving of intelligent network connection automobile in foggy weather environment

Abstract

The invention discloses a trial lane for simulating driving of an intelligent network connection automobile in a foggy weather environment, wherein the trial lane comprises a road body, a light-transmitting cover, a fog making main machine, a high-pressure main pipeline, a plurality of high-pressure branch pipelines, a plurality of groups of atomizing nozzles, a visibility meter and a control system; the light-transmitting cover is fixed on the road body; the plurality of high-pressure branch pipelines extend in the advancing direction of the road body and are evenly distributed on the inner top face and the two inner side faces of the light-transmitting cover, each high-pressure branch pipeline is connected with a corresponding group of atomizing nozzles, and each atomizing nozzle faces a semi-closed space defined by the light-transmitting cover; the plurality of high-pressure branch pipelines are connected with the fog making main machine through the high-pressure main pipeline; and the visibility meter is hung at the top of the inlet end of the light-transmitting cover, and the control end of the fog making main machine and the data output end of the visibility meter are connected with the control system. According to the invention, the foggy weather environment can be simulated, the duration and the visibility value of the foggy weather can be controlled, and the driving test requirement of the intelligent network connection automobile in the foggy weather environment can be met.

Description

technical field [0001] The invention relates to the field of design and construction of a test track in an automobile proving ground, in particular to a test track for simulating the driving of an intelligent networked vehicle in a foggy weather environment. Background technique [0002] In the development of the automobile industry, ensuring driving safety has always been the core of the entire automobile industry, especially in today's era of self-driving car research and development and testing. At present, there is no complete and mature evaluation system for intelligent networked vehicles (autonomous driving vehicles), so there is no unified standard for the construction specifications and function definitions of special test tracks. In the future, the main test focus of ICV will be to assess the perception and coping ability of the environment perception system equipped on the vehicle to the traffic environment, which is oriented to "vehicle-road", "vehicle-human" and ...

AI Technical Summary

Problems solved by technology

[0003] However, foggy weather is a kind of weather condition. The natural foggy weather environment has the characteristics of seasonality, regionality, sporadicity, strength, and randomness of duration. Its strength and duration cannot be controlled artificially. For example, only relying on fog If the natural weather of the day is used to develop and test self-driving cars, the frequency and time of research and development and testing will be greatly restricted by weather conditions, the efficiency and effect of research and development and testing will be greatly reduced, and the cost and price will be relatively high; , it is difficult to test in a natural foggy environment, and it is difficult to traverse foggy conditions with various visibility in a short time and geographical space, which cannot effectively guarantee the effectiveness of the test, and cannot meet the needs of research and development and testing

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