Track primitive extraction and analysis method and system in multi-vehicle interaction environment

An analysis method and trajectory-based technology, applied in the field of vehicle intelligent interaction, can solve problems such as low accuracy, poor adaptability, and inability to pay attention to the multi-vehicle interaction environment, and achieve good practicability and strong applicability
CN113642682AActive Publication Date: 2021-11-12BEIJING INSTITUTE OF TECHNOLOGYGY +1
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING INSTITUTE OF TECHNOLOGYGY
Publication Date
2021-11-12

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Abstract

The invention relates to a track primitive extraction and analysis method and system in a multi-vehicle interaction environment. According to the track primitive extraction and analysis method in the multi-vehicle interaction environment, after vehicle driving information is collected and preprocessed to obtain interaction group data, the vehicle driving process is divided into combinations of different original track primitives according to the interaction group data and based on a viscous hierarchy Dirichlet process and a hidden Markov model, and then a dynamic time warping algorithm is used for storing driving information, an image normalization method is used for processing original track primitives to obtain track primitive images, finally, general track primitives are obtained through clustering processing according to the track primitive images, modular understanding of the driving process in the multi-vehicle interaction environment is achieved, the method better fits the real driving condition, and the practicability is very high.
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Description

technical field

[0001] The invention relates to the technical field of automobile intelligent interaction, in particular to a method and system for extracting and analyzing trajectory primitives in a multi-vehicle interactive environment. Background technique

[0002] At present, with the continuous increase of the number of traffic participants, the road condition information is becoming more and more complicated. The study of driving behavior in complex and dynamic traffic environments plays an important role in the development of advanced driver assistance systems, intelligent transportation systems, and autonomous driving. The trajectory primitive is a qualitative expression of driving behavior, which can reflect the driving behavior with certain characteristics. A complete driving process can be regarded as a combination of one or more trajectory primitives, for example: overtaking driving process It can be regarded as a combination of three trajectory primitives: lane...

Claims

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