Travelling track processing method and device and electronic equipment

Abstract

The invention provides a driving track processing method and device and electronic equipment, and relates to the field of data processing. The method comprises the following steps: receiving a drivingtrack generated by terminal equipment in a driving process; filtering the driving track based on a preset rule to obtain a filtered driving track, and adsorbing the filtered driving track to a corresponding road network track; performing segmentation extraction on the filtered driving track and the road network track to obtain at least one pair of track segments, wherein the track subsections comprise a section of driving track obtained by subsection extraction and a corresponding section of road network track; determining at least one pair of target track segments meeting respective corresponding preset requirements in each pair of track segments, and obtaining image data corresponding to each target track segment. According to the invention, the automatic auditing of the driving track is realized, and the overall efficiency of auditing the driving track is improved, so the overall updating efficiency of the map is improved.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular, the present application relates to a processing method, device and electronic equipment for driving trajectories. Background technique [0002] A live map, as the name suggests, is a map where you can see real street views. In the real scene map, users can watch the 360-degree real scene on the punctuation, so that customers can understand the internal and external environment of the punctuation without leaving home. [0003] However, the real street view will change, so it is necessary to continuously update the real street view in the real map. [0004] In the prior art, a terminal device with image acquisition function and positioning function is usually installed in the vehicle, and then images are collected during the driving of the vehicle. After the collection is completed, the driving trajectory is uploaded, and the management personnel manually revi...

AI Technical Summary

Problems solved by technology

[0005] However, this method needs to manually review the driving trajectory, which is not only slow, but also has a low accuracy rate, and the overall review efficiency of the driving trajectory is low; moreover, the task of obtaining images also needs to be initiated manually, which is low in efficiency. The overall update efficiency of the reality map is low

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