A 5G-based collaborative sensing method for curves in unmanned transportation systems in mining areas

Abstract

The invention discloses a method for collaborative perception of curves based on a 5G mining area unmanned transportation system, including vehicle-side environment perception data processing, roadside environment perception data processing, and road-vehicle cooperative perception data processing. Through the technical solution of the present invention, the problem of large blind areas and difficult identification of curves in mining areas is solved, and wide-area perception of curves in mining areas is realized without installing additional sensing equipment on the side of the vehicle, which improves the performance of mining vehicles in the curve scene. The security; the application of 5G transmission in the communication between the roadside equipment and the vehicle side equipment in the curved mine area ensures the low delay and high reliability of massive data transmission.

Description

technical field [0001] The invention belongs to the technical field of automatic driving, and in particular relates to a 5G-based collaborative sensing method for curves of an unmanned transportation system in a mining area. Background technique [0002] In recent years, the problem of difficulty in recruiting mining machinery drivers has become increasingly prominent with economic development and improvement of people's living standards. On the other hand, human expenditures such as wages and insurance for drivers and logistics personnel have increased year by year, and personnel security expenditures and safety accident losses have brought a heavy burden to mine operations. With the maturity of unmanned driving technology, replacing the driver with the unmanned driving system will help reduce the work intensity of workers, improve the safety conditions of mine production, improve the production efficiency of mining enterprises, reduce mine production costs, and realize fle...

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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