Curve cooperative sensing method of 5G-based mining area unmanned transportation system

Abstract

The invention discloses a curve cooperative sensing method based on a 5G mining area unmanned transportation system. The method comprises vehicle side environment sensing data processing, road side environment sensing data processing and road-vehicle cooperative sensing data processing. Through the method, problems of large blind area and difficulty in recognition of the mining area curve are solved, wide-area sensing of the mining area curve is realized, additional sensing equipment does not need to be additionally arranged on the vehicle side, and safety of a mine vehicle in a curve scene isimproved, 5G transmission is applied to communication between mining area curved road side equipment and vehicle side equipment, and low time delay and high reliability of mass data transmission areguaranteed.

Description

Technical field [0001] The invention belongs to the field of automatic driving technology, and in particular relates to a 5G-based mining area unmanned transportation system based on a curve collaborative sensing method. Background technique [0002] In recent years, the difficulty in recruiting mining engineering machinery drivers has become increasingly prominent with economic development and the improvement of people's living standards. On the other hand, manpower expenditures such as wages and insurance for drivers and logistic personnel have increased year by year, and personnel security expenditures and safety accident losses have brought a heavy burden to mine operations. With the increasing maturity of unmanned driving technology, replacing drivers with unmanned driving systems is conducive to reducing the work intensity of workers, improving the safety conditions of mine production, increasing the production efficiency of mining enterprises, reducing mine production cost...

AI Technical Summary

Problems solved by technology

[0004] Through on-the-spot inspection of the road scene and operation conditions in the mining area, the following two problems exist in the unmanned driving in the mining area: First, the roads in the mining area are mostly built against mountains, and there are a lot of sharp turns or scenes where the side of the curve is blocked by the mine. In these scenarios, there will be a large number of detection blind spots in the self-driving mining vehicle's own sensors. Once obstacles appear in the detection blind spot, it will threaten the driving safety of the unmanned mining vehicle.

Second, there is a large amount of data transmission demand in unmanned driving in mining areas, and traditional 4G and WIFI can no longer meet the demand

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