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Method for predicting dynamic trajectory of moving object under fixed air route task

A technology for moving objects and trajectory prediction, which is applied in special data processing applications, instruments, electrical digital data processing, etc., and can solve problems such as offline model failure and low trajectory prediction accuracy

Active Publication Date: 2019-12-03
HARBIN ENG UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method for predicting the dynamic trajectory of a moving object under a fixed route task, so as to solve the problem that the existing off-line obtained moving object trajectory prediction model may occur in the environment When changing dynamically, the motion of the object may enter the range not covered by the offline model, which will cause the offline model to fail, and solve the problem of low trajectory prediction accuracy

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  • Method for predicting dynamic trajectory of moving object under fixed air route task
  • Method for predicting dynamic trajectory of moving object under fixed air route task
  • Method for predicting dynamic trajectory of moving object under fixed air route task

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specific Embodiment approach 1

[0088] Specific implementation mode one: the specific process of the method for predicting the dynamic trajectory of a moving object under a fixed route task in this implementation mode is as follows:

[0089] The invention acquires sample sets online and establishes a trajectory prediction model online, so that the prediction model can reflect the dynamic influence of the environment on the trajectory of the moving object, thereby improving the trajectory prediction accuracy. Among them, obtaining the sample set online refers to storing the historical trajectory deviation data by constructing a two-dimensional container sequence, and then using the retrieval matching method to obtain the forward known trajectory deviation sequence of the moving object online (because the trajectory deviation sequence of the predicted object before the prediction time is known, so it is called the forward known trajectory trajectory deviation sequence of the prediction object) matched historica...

specific Embodiment approach 2

[0095] Specific embodiment 2: The difference between this embodiment and specific embodiment 1 is that in the step 1, in the offline state, according to the characteristics of the fixed route task, a trajectory deviation sequence with a position label is defined, and a second trajectory deviation sequence is constructed based on the trajectory deviation sequence. dimensional container sequence, and store the historical trajectory deviation data of moving objects under the same route task in the two-dimensional container sequence; the specific process is:

[0096] In order to describe the task of the fixed route, the coordinates of one dimension in the three-dimensional space can be selected as the position label, then the execution of the moving object on the fixed route can be defined by the trajectory of the moving object under the same label and the expected trajectory (fixed task route) in the other two coordinates Dimensions of positional deviation to represent. In additi...

specific Embodiment approach 3

[0105] Specific embodiment 3: The difference between this embodiment and specific embodiment 1 is that in the online state in the step 2, the search matching method is used to retrieve the forward known information of the predicted object in the two-dimensional container sequence obtained in the step 1. Trajectory deviation sequence, the historical trajectory deviation sequence that passes through the same two-dimensional container unit as the forward known trajectory deviation sequence is the matched historical trajectory deviation sequence, and the sample set is composed of the matched historical trajectory deviation sequence; the online ISO algorithm is used to use the sample set, based on the RBF neural network structure, the trajectory deviation prediction model of the moving object is established online; the specific process is:

[0106] Step 21. Use the search matching method to retrieve the forward known trajectory deviation sequence of the predicted object in the two-d...

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Abstract

The invention relates to the field of precise prediction of dynamic trajectories, in particular to a method for predicting a dynamic trajectory of a moving object under a fixed air route task. The method comprises the following steps of in an offline state, defining a trajectory deviation sequence with a position label, constructing a two-dimensional container sequence based on the trajectory deviation sequence, and storing historical trajectory deviation data of the moving object under the same course task in the two-dimensional container sequence; in an online state, retrieving a forward known trajectory deviation sequence of the prediction object in the two-dimensional container sequence to obtain a sample set; adopting an online ISO algorithm, using the sample set, and establishing a trajectory deviation prediction model of the moving object online based on an RBF neural network structure; predicting the future trajectory of the moving object by using the trajectory deviation prediction model of the moving object; and repeating the steps 2 and 3 until the task is completed. The problem that an existing moving object trajectory prediction model obtained offline fails when the environment dynamically changes can be solved, and meanwhile, the trajectory prediction precision is improved.

Description

technical field [0001] The invention relates to the field of precise prediction of dynamic trajectories, in particular to a method for predicting dynamic trajectories of moving objects under fixed route tasks. Background technique [0002] The trajectory position prediction of moving objects is widely used in intelligent navigation, intelligent traffic management and other fields. With the rapid development of wireless communication and positioning technology, the trajectory prediction technology of moving objects is gradually mature. However, in planned fixed route tasks such as aircraft takeoff and landing, ship obstacle avoidance and docking, due to the needs of safety guarantee and management, it is often required to accurately predict the dynamic trajectory of moving objects, and the existing trajectory prediction methods are difficult to meet the requirements of fixed routes. The precise trajectory prediction requirements of the task, especially when the object is affe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 张雯张强田纪伦何旭杰
Owner HARBIN ENG UNIV
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