Track predicting method and device, storage medium, driving system and vehicle

A trajectory prediction and trajectory data technology, applied in the field of intelligent transportation, can solve problems such as potential safety hazards, collisions, and inability to predict trajectory, achieving high safety, high prediction accuracy, and reducing the probability of accidents.

Pending Publication Date: 2020-06-19
SZ DJI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing trajectory prediction algorithm is based on the motion data of the moving object itself, and cannot predict the trajectory from a global perspective, which will easily lead to the int

Method used

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  • Track predicting method and device, storage medium, driving system and vehicle
  • Track predicting method and device, storage medium, driving system and vehicle
  • Track predicting method and device, storage medium, driving system and vehicle

Examples

Experimental program
Comparison scheme
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Example Embodiment

[0062] Example one

[0063] The embodiment of the present invention provides a trajectory prediction method. Please refer to Figure 2-Figure 4 ,among them, figure 2 Shows a schematic flow chart of a trajectory prediction method provided by an embodiment of the present invention, image 3 Shows a schematic diagram of the implementation process of the trajectory prediction method provided by the embodiment of the invention in a specific application scenario, Figure 4 for image 3 A specific implementation of the process shown.

[0064] Such as figure 2 As shown, the method includes the following steps:

[0065] S202: Obtain global semantic data and global trajectory data of the region where the object to be predicted is located.

[0066] As mentioned above, the object to be predicted is a moving object, which may include but is not limited to at least one of the following: vehicles, animals, humans, robots, and unmanned aerial vehicles. In addition, the number of objects to be pred...

Example Embodiment

[0125] Example two

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Abstract

The invention provides a track predicting method and device, a storage medium, a driving system and a vehicle. According to the method, through acquiring global semantic data and global track data ofan area with a to-be-predicted object (S202), then combining the global semantic data and the global track data, global combined data are obtained (S204), therefore, features in the global combined data are extracted for obtaining global features (S206). Furthermore, the global features are processed by means of a trained track predicting model, thereby obtaining a target track of the to-be-predicted object (S208). The method can realize track prediction of a moving object according to the global data and has relatively high prediction accuracy, and furthermore reduces generation probability of accidents to a certain extent.

Description

Technical field [0001] The present invention relates to the field of intelligent transportation technology, in particular to a trajectory prediction method and device, a storage medium, a driving system and a vehicle. Background technique [0002] With the development of the field of intelligent transportation, the prediction algorithm for the trajectory of moving objects is of great significance in the field of path planning. By predicting the motion trajectory of the moving object, path planning can be performed when the possible future motion trajectory of the moving object is known, which is beneficial to prevent accidents such as collisions. [0003] Current trajectory prediction algorithms are generally based on the motion data of the moving object itself, determine the applicable motion model of the moving object according to the category of the moving object, and use the motion model to process the motion data of the moving object itself, and then post-processing Integrati...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/584G06V20/588G06N3/045G06N3/044G06F18/253
Inventor 崔健陈晓智
Owner SZ DJI TECH CO LTD
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