Vehicle positioning and navigation method and device and related system

Abstract

The invention provides a vehicle positioning and navigation method and device and a related system. The method comprises the following steps: firstly, acquiring satellite positioning information and driving information of a vehicle, obtaining absolute position information of the vehicle, and determining a road where the vehicle is located in a road map according to the absolute position information of the vehicle; then, collecting image information of the road where the vehicle is located to obtain lane line information of each lane in an image; and finally matching the lane line information of each lane in the image with the road information in the road map to determine the lane where the vehicle is located in the road map. According to the invention, lane-level vehicle positioning is realized, the positioning accuracy is improved, the vehicle positioning error is reduced, and the problem of inaccurate vehicle positioning in the prior art is solved. According to the acquired lane-level vehicle positioning information, lane-level path planning can be realized, and a lane-level navigation route or path guiding information can be provided.

Description

Technical field [0001] The present invention relates to the field of navigation technology, in particular to a vehicle positioning and navigation method and device and related systems. Background technique [0002] At present, in the prior art, the positioning of the vehicle through the satellite navigation system can only locate the vehicle on the road. According to the position of the vehicle on the road, route planning or route guidance is performed. Moreover, since the accuracy of satellite positioning in the prior art is generally at the meter level, vehicle positioning deviation may occur, for example, positioning a vehicle currently driving on a road side road to the main road of the road. In addition, because real-world roads often have multiple lanes, the existing positioning method is used to locate the vehicle on the road on the road map, and the lane where the vehicle is located cannot be determined, so it can only provide road-level path planning or path guidance. ...

AI Technical Summary

Problems solved by technology

Moreover, since the accuracy of satellite positioning in the prior art is generally at the meter level, vehicle positioning deviations may occur, for example, positioning a vehicle currently driving on a road side road to the main road of the road

In addition, since there are often multiple lanes on roads in the real world, existing positioning methods are used to locate the vehicle on the road on the road map, but cannot determine the lane where the vehicle is located, so it can only provide road-level path planning or path guidance. information

Since the existing positioning method cannot locate which lane of the road the vehicle is driving in, and cannot provide lane-level lane-changing guidance information based on the current position of the vehicle, it may cause the driver to find out that the vehicle needs to move to the solid-line area after the vehicle reaches the solid line area. Changing lane to the right, but already in the solid line area at this time, can no longer change lane to the right, and can only continue driving on the straight road

It can be seen that using the existing positioning method, when there are many lanes on the road, it may happen that the positioning is not accurate enough, causing the vehicle to go the wrong way because the guidance information is not detailed.

If accurate lane-level positioning cannot be achieved, lane-level navigation routes or guidance information cannot be provided

[0003] However, the existing lane-level map matching technology needs to store high-precision map data to match the type and color of the lane, and determine the lane where the current vehicle is located. However, high-precision data does not store lane information for all roads. Higher roads, such as high-speed, urban express, etc. will store lane information, and roads with lower road grades, such as urban roads, will not store lane information (that is, the location information and type of specific lanes will not be stored, but will be stored number of lane lines)

When the vehicle is driving on a road with a relatively low road grade, the lane information identified by the camera cannot be matched with high-precision data

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