Determining the path to follow

Abstract

The invention provides a method for determining a following path, which comprises the following steps of: acquiring position information of a vehicle; acquiring map data according to the position information of the vehicle; acquiring multi-frame image information of a following target followed by the vehicle within a preset time period, wherein each frame of image information includes time information for acquiring the image information; carrying out fitting processing on the multi-frame image information and the map data according to the time information to obtain the position information ofthe following target corresponding to each time information; when a difference between first angle information and second angle information is larger than a deflection range of a platform of the vehicle, predicting a first prediction track between first image information and second image information according to the first image information corresponding to the first angle information and the second image information corresponding to the second angle information, splicing to obtain an original track of the following target; and generating the following path after a smoothing process. By the adoption of the method for determining the following path, a trajectory of the following target can also be predicted when the following target is outside a rotating range of the platform.

Description

technical field [0001] The invention relates to the field of image and data processing, in particular to a method for determining a following path. Background technique [0002] With the development of the economy and the rise of artificial intelligence technology, self-driving cars are getting more and more attention from the market. Self-driving cars refer to relying on the cooperation of artificial intelligence, visual computing, radar, monitoring devices and global positioning systems, so that computers can automatically and safely operate motor vehicles without any active human operation. The market predicts that the popularization of self-driving cars can reduce the incidence of traffic accidents, reduce traffic congestion, reduce the cost of investing in transportation infrastructure, and reduce environmental pollution. [0003] In the existing technology, the relevant technologies in the field of autonomous driving are not yet mature. In particular, there is no cor...

AI Technical Summary

Problems solved by technology

[0003] Among the existing technologies, related technologies in the field of autonomous driving are not yet mature

In particular, after determining the tracking target, how to follow it through an automatic driving vehicle, predict the trajectory of the following target, and ensure that the following target cannot leave the image capture range for more than a certain period of time. There is no corresponding solution in the prior art.

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