Intelligent vehicle safety situation assessment method considering multi-vehicle interaction

A technology for security posture, intelligent vehicles, applied in neural learning methods, traffic control systems for road vehicles, traffic control systems, etc.

Active Publication Date: 2020-04-28
TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, existing situational assessment methods are challenging to detect hazardous situations in advance and address uncertainties in mixed traffic

Method used

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  • Intelligent vehicle safety situation assessment method considering multi-vehicle interaction
  • Intelligent vehicle safety situation assessment method considering multi-vehicle interaction
  • Intelligent vehicle safety situation assessment method considering multi-vehicle interaction

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Embodiment Construction

[0053] In the drawings, the same or similar reference numerals are used to denote the same or similar elements or elements having the same or similar functions. Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0054] In the description of the present invention, the terms "center", "longitudinal", "transverse", "front", "rear", "left", "right", "vertical", "horizontal", "top", " The orientation or positional relationship indicated by "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying the referred device or element Must have a specific orientation, be constructed and operate in a specific orientation, and therefore should not be construed as limiting the scope of the invention.

[0055] see figure 1 The intelligent...

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PUM

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Abstract

The invention discloses an intelligent vehicle safety situation assessment method considering multi-vehicle interaction. The method comprises the following steps:1, establishing an intention recognition module through a long-short-term memory network; 2, defining logic judgment based on probability maximum classification through the intention recognition module according to the historical track information of the vehicle, and calculating the driving intention probability of the surrounding vehicles of the predicted vehicle; 3, outputting a potential risk by adopting a risk assessment module based on a driving safety field through analyzing the interaction among the driver, the vehicle and the road; 4, establishing a comprehensive situation evaluation model in combination with the driving intentions, calculated by the risk evaluation module and the intention recognition module, of the surrounding vehicles of the predicted vehicle, and outputting a dynamic potential risk map consideringmulti-vehicle interaction in a dynamic traffic scene through the comprehensive situation evaluation model; according to the invention, the dynamic potential risk map considering multi-vehicle interaction can be output, and the calculated risk map allows the intelligent vehicle to evaluate the driving state of the intelligent vehicle by using the real-time risk value so as to perform early warningand take appropriate measures.

Description

technical field [0001] The invention relates to the technical field of automatic driving, in particular to an intelligent vehicle safety situation assessment method considering multi-vehicle interaction. Background technique [0002] The development of autonomous driving technology has brought convenience to people's travel and transportation, and has made how to carry out safe and reliable autonomous driving a research hotspot. Smart vehicles should assess current environmental risks to ensure safe and efficient autonomous driving, while the uncertainty and dynamic changes of the traffic environment make it challenging to conduct reliable risk assessments. In a dynamic mixed traffic environment considering multi-vehicle interactions, how to quantitatively assess driving risk is a key issue. Therefore, in order to serve intelligent decision-making, advanced driver assistance systems / autonomous driving systems should assess their driving risks and accurately identify risk tr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08G06Q50/30G08G1/01
CPCG06N3/08G06Q50/30G08G1/0137G06N3/047G06N3/044G06N3/045G06F18/241
Inventor 王建强黄荷叶郑讯佳杨奕彬许庆李克强涂茂然崔明阳
Owner TSINGHUA UNIV
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