Vehicle positioning method and apparatus, and vehicle

Abstract

The invention relates to a vehicle positioning method and apparatus, and a vehicle and specifically relates to the field of vehicles. The method comprises the following steps: obtaining a current position of a vehicle; identifying a street lamp disposed in front of the current position of the vehicle; measuring a distance between the identified street lamp and the current position of the vehicle; by use of a map, based on the current position of the vehicle, determining longitude and latitude of the identified street lamp, wherein the map comprises latitude and longitude information and elevation information of street lamps at the two sides of a road; and according to the longitude and latitude of the identified street lamp and the distance, correcting the current position of the vehicle. The method can solve the disadvantages of too high cost and quite large errors existing in prior vehicle positioning arts and can accurately position the vehicle at a quite low cost.

Description

technical field [0001] The present disclosure relates to the field of vehicles, and in particular, to a vehicle positioning method, device, and vehicle. Background technique [0002] At present, there are many high-precision positioning methods for unmanned vehicles. [0003] One of the methods is to use a high-precision Global Positioning System / Inertial Measurement Unit (GPS / IMU) to achieve through differential positioning technology and technologies such as lidar and millimeter-wave radar, but its cost is high. [0004] Another method is to collect multiple traffic signs and road signs as samples to calculate the distance between the unmanned vehicle and the traffic signs and road signs, so as to locate the unmanned vehicle. However, since the traffic signs and road signs used as samples are not evenly distributed in large numbers, it is difficult to collect a sufficient number of samples at any time, which will inevitably lead to low positioning accuracy of unmanned veh...

AI Technical Summary

Problems solved by technology

However, because the traffic signs and road signs used as samples are not evenly distributed in a large number, it is difficult to collect a sufficient number of samples at any time, which will inevitably lead to low positioning accuracy for unmanned vehicles in some time

In addition, in the case of insufficient light conditions at night, errors in sample recognition are prone to occur, which greatly reduces the accuracy of vehicle positioning at night

However, if a communication device such as Bluetooth is installed on the existing street lamps, the installation and maintenance costs will be high due to the huge number of street lamps.

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