An automatic deviation correction method based on UAV in parking lot scene

An automatic deviation correction and UAV technology, applied in computer parts, non-electric variable control, two-dimensional position/channel control, etc., can solve the problems of lengthy, complex knowledge base establishment, and inability to guarantee the indoor positioning of UAVs. , to achieve the effect of reducing complexity and cost
CN106845491BActive Publication Date: 2019-10-18ZHEJIANG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ZHEJIANG UNIV
Publication Date
2019-10-18

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Abstract

The invention discloses an automatic deviation correction method based on an unmanned aerial vehicle in a parking lot scene. The method is to obtain an image of a vehicle driving on the road below through an unmanned aerial vehicle, combine the Hog features of the image, and use the SVM image classification model to classify the image into Class to a certain image type, and then map the image type to the current required deviation correction control command through the image type-deflection angle mapping table and deflection angle-control command mapping table, and send it to the vehicle, and the vehicle translates the control command into vehicle control Command and execute to realize vehicle deviation correction. This method relies on the UAV and its visual sensor, and does not require significant modification of the vehicle, which reduces the complexity and cost of the vehicle. In the process of deviation correction, from the UAV to collect the image to the target vehicle to execute the control command, there is no need to Manual participation can realize automatic deviation correction in the true sense.
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Description

technical field

[0001] The invention belongs to the technical field of automatic driving, and in particular relates to an automatic deviation correction method based on a drone in a parking lot scene. Background technique

[0002] In recent years, drones have developed rapidly and have been widely used in various fields such as transportation and agriculture. During the driving process of the vehicle, the drone can provide the car with a global perspective, and these visual images contain the environmental information around the vehicle. UAV-based car navigation will abandon the traditional way of relying on vehicle-mounted monocular / binocular camera navigation, and replace the first perspective with a third perspective, bringing a more global vision to the car and bringing new possibilities to autonomous driving. sex.

[0003] In the field of autonomous driving, people generally use on-board cameras to provide visual information for vehicles to achieve the purpose of navi...

Claims

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