It is proposed a new approach to the design of intelligent visual navigation system whose software supplies the solution of navigation problem of high accuracy. It is provided with help of traditional approach to the creation of visual navigation system based on SURF, RANSAC algorithms use, and in addition the use of convolution neural network for the determination the objects with known coordinates. It permits to increase the accuracy of unmanned aerial vehicle position coordinates and periodical correction their values. The tuning of visual navigation system is supplied with help of adjustment digital complex.
Intelligent Visual Navigation System of High Accuracy
2019-10-01
336953 byte
Conference paper
Electronic Resource
English
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