Agricultural machinery obstacle avoidance method based on deep learning system

A deep learning, agricultural machinery technology, applied in control/regulation systems, motor vehicles, two-dimensional position/channel control, etc., can solve problems such as low level of intelligence and single way to avoid obstacles.

Inactive Publication Date: 2018-03-20
LUOYANG ZHONGKE LONGWANG INNOVATION TECH CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

This obstacle avoidance method is too simple to avoid obstacles, and the intelligence level is relatively shallow.

Method used

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  • Agricultural machinery obstacle avoidance method based on deep learning system
  • Agricultural machinery obstacle avoidance method based on deep learning system
  • Agricultural machinery obstacle avoidance method based on deep learning system

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Experimental program
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Embodiment Construction

[0031] The application object of this method is agricultural machinery, and the working place is in the farmland.

[0032] combine image 3 , the agricultural machinery obstacle avoidance algorithm planning method based on deep learning system of the present invention, comprises the following steps:

[0033] 1. First, use the database established by the deep learning system for image processing to realize image recognition:

[0034] The image information captured by the camera carried by the agricultural machinery is extracted layer by layer through the convolution group composed of the convolutional layer and the pooling layer in the convolutional neural network, and finally the classification is completed through several fully connected layers. This classification is to group the image features of the same attribute in each frame image together, such as the sky, the earth, crops, obstacles, etc. in each image.

[0035] combine Figure 4 , compare the extracted image featu...

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Abstract

The invention discloses an agricultural machinery obstacle avoidance method based on a deep learning system and relates to the field of agricultural machinery automation. According to the method, theinformation of images is collected, and collected images are recognized based on the deep learning system. After that, an obtained result is matched with a corresponding preset output. The further action is carried out according to the dynamic and static properties of an obstacle. If the obstacle is a dynamic obstacle, the whistling is carried out to remind or decelerate a vehicle until the vehicle is parked for waiting. If the obstacle cannot be removed within a certain period of time, the obstacle is processed according to a static obstacle method. If the obstacle is a static obstacle, the local obstacle avoidance path planning is carried out to obtain an optimal path for the obstacle avoidance of the agricultural machinery. If the obstacle cannot be recognized, the proper processing canbe carried out through a powerful on-line learning system. According to the obstacle avoidance method based on the deep learning system, the agricultural machinery can make an intelligent decision inan unknown work environment. The working efficiency is improved, and the fault tolerance rate of the obstacle avoidance is increased.

Description

technical field [0001] The invention relates to the field of agricultural machinery automation, in particular to an agricultural machinery obstacle avoidance method based on a deep learning system. Background technique [0002] With the development of science and technology, agricultural machinery is becoming more and more intelligent, and the automatic navigation technology of agricultural machinery is the key technology of precision agriculture. In actual production and life, there are many unknown problems that need to be dealt with in the natural environment where agricultural machinery is located. During operation, agricultural machinery may encounter obstacles such as utility poles, people, and other machinery or approach the ground. At this time, agricultural machinery needs to automatically make obstacle avoidance decisions . Only in this way can the safety protection of people and agricultural machinery be achieved, and at the same time, the production efficiency o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05D1/02
CPCG05D1/0214G05D1/0221G05D1/024G05D1/0253G05D1/0276G05D2201/0201
Inventor 万忠政李凌光闻涛
Owner LUOYANG ZHONGKE LONGWANG INNOVATION TECH CO LTD
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