Positioning method, system, device and storage medium for unmanned vehicle

Abstract

The invention provides a positioning method, a system, a device and a storage medium for an unmanned vehicle, wherein the method comprises the following steps: setting a plurality of positioning markpatterns on a lane line, and establishing a mapping relationship table between each positioning mark pattern and spatial coordinates; capturing a picture of the road surface in front of the vehicle, and detecting whether the picture has a mark line with a preset mark pattern, if not, adopting a global positioning mode for controlling; if so, obtaining a accuracy of local positioning and a accuracyof global positioning in a current state; determining whether the accuracy of the local positioning in the current state is higher than the accuracy of the global positioning, and if so, adopting a local positioning mode for controlling; If not, adopting the global positioning mode for controlling. According to the positioning method, the system, the device and the storage medium for the unmannedvehicle, the most suitable positioning mode can be automatically selected in different states, and the safety and accuracy of the unmanned vehicle are improved.

Description

technical field [0001] The present invention relates to the field of vehicle positioning, in particular to a positioning method, system, device and storage medium for unmanned vehicles. Background technique [0002] With the rise of unmanned driving technology, more and more control schemes have been researched and implemented, and they play unique roles in different scenarios. These control technologies often rely on mature positioning technologies. For example, the current real-time position of the vehicle relative to the map can be obtained through global positioning, and the position of the vehicle relative to the road lane can also be obtained through local positioning. Although these technologies are relatively mature in theory and practice, they can only be limited to specific environments in order to obtain satisfactory results. In the face of complex road conditions and road environments, sometimes a single positioning method does not work, resulting in the effecti...

AI Technical Summary

Problems solved by technology

Although these technologies are relatively mature in theory and practice, they can only be limited to specific environments in order to obtain satisfactory results.

In the face of complex road conditions and road environments, sometimes a single positioning method does not work, resulting in the effectiveness of the unmanned vehicle control scheme

For example, in an urban area full of high-rise buildings, due to signal shadowing and multipath effects, unmanned vehicles cannot obtain the current location through global positioning.

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