High-precision vector map compression method based on polar coordinate system

Abstract

The invention discloses a high-precision vector map compression method based on a polar coordinate system, and the method comprises the steps: firstly stipulating the true north as the polar axis direction of the polar coordinate system, and taking a starting point as an original point; then, according to the characteristic that the included angle between the linear road and the polar axis is a fixed value, judging whether the difference of tangent values of the included angle between a straight line formed by two or more continuous points and the starting point and the polar axis meets a preset threshold value or not, if so,indicating that the road is the linear road, and otherwise, meaning the road is a curved road; and finally, compressing different road segment data in the map according to different types of roads. For the straight road, the longitude and latitude of the starting point, the included angle between the straight road section and the polar axis and the length of the straight road section are used for representing the straight road section; for the curved road, nonlinear curve fitting is carried out firstly, equal-angle interval sampling is carried out on a fitting curve, and then the longitude and latitude of a starting point, the angle interval and the polar radius of each sampling point are used for representing the curved road; on the premise of not losing the map precision, the map data storage memory can be reduced.

Description

technical field [0001] The invention relates to the technical field of matching navigation and positioning aided by high-precision vector maps, in particular to a compression method for high-precision vector maps based on a polar coordinate system. Background technique [0002] With the rapid development of science and technology, whether it is smart cars, drones, or high-precision precision strike weapons, their research and development are inseparable from high-precision vector maps. High-precision vector maps can provide high-precision geographic data information for the navigation and positioning of intelligent and automated machinery, assist in obtaining high-precision poses, and play an irreplaceable and important role in the era of mechanization. [0003] For the traditional high-precision vector map preparation process, if the map preparation process is too fine, it will require a huge data storage memory; on the contrary, if the data sampling interval of the map pre...

AI Technical Summary

Problems solved by technology

Taking self-driving cars as an example, in order to achieve unmanned driving and improve the intelligence of cars, it is necessary to require the accuracy of high-precision vector maps on the car to be on the order of centimeters. There are far more sampling points in the map preparation process than traditional electronic maps, that is, the data of the sampling points that need to be stored is huge, and each sampling point contains a pair of longitude and latitude data, which will inevitably cause a huge data storage memory

Therefore, the traditional high-precision vector map preparation method cannot guarantee the map accuracy and the light weight of the map data storage memory at the same time.

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