Visual navigation path recognition system of grain combine harvester

Abstract

The invention relates to a visual navigation path recognition system of a grain combine harvester. After the system is loaded and a driver aligns a harvesting line, the system can detect line parameters of navigation paths of the grain combine harvester automatically through a camera (video camera), conduct navigation path planning to form navigation path information and finally transmit the navigation path information to a combine harvester visual navigation steering control system based on a single-chip microcomputer through an ARM kernel 12C bus and single-chip microcomputer communication unit based on a 12C bus. The visual navigation path recognition system of the grain combine harvester combines an image processing technology and the Vinci technology (DSP technology), is low in power consumption, capable of achieving equipment miniaturization and convenient to install, increases the navigation path recognition speed of the grain combine harvester, improves the navigation path recognition accuracy of the grain combine harvester, has high real-time performance, accuracy and robustness, and is suitable for being popularized and used.

Description

technical field [0001] The invention relates to automatic navigation technology for agricultural vehicles, in particular to a visual navigation path recognition system for grain combine harvesters. Background technique [0002] The main purpose of studying the automatic navigation of agricultural vehicles is to enable tractors, combine harvesters and other farming management machines to have self-positioning and self-propelling capabilities, and to realize unmanned driving. The automatic navigation technology of agricultural vehicles can not only liberate farmers from monotonous and heavy labor, but also serves as the basic platform for precision agriculture. As an important branch of "precision agriculture", the navigation technology of farmland operation machinery is attracting more and more attention. At present, my country's farmland operation methods are still very backward, mainly manual labor. In order to improve the level of agricultural mechanization equipment in ...

AI Technical Summary

Problems solved by technology

[0004] At present, the visual navigation path recognition of the grain combine harvester is mainly completed by computers and image acquisition cards. The equipment is large in size and the external power supply is not easy to solve, especially under the limitation of the cab space and power supply of the grain combine harvester, the limitations are obvious

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