一种预测人体危险落地机制的系统与方法

By predicting the landing mechanism of a person, the system collects data in real time and uses three rules from the decision-making module to predict the landing mechanism, solving the problem of predicting pedestrian ground contact injury after a collision between a person and a vehicle, and enabling rapid rescue to protect pedestrian safety.

CN116215514BActive Publication Date: 2026-07-17CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
Filing Date
2023-03-07
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies are insufficient to effectively predict and protect against secondary collision injuries to pedestrians after a collision with a vehicle, and there is a lack of effective protective measures.

Method used

Design a system to predict the landing mechanism of a person in danger, including a perception module, a calculation module, a decision-making module, and a road rescue module. The system predicts the landing mechanism of a person in danger through real-time data collection and three rules, and initiates rapid rescue if danger is detected.

Benefits of technology

It enables a rapid identification of dangerous landings and the initiation of rescue operations after a collision between a pedestrian and a vehicle, maximizing pedestrian safety.

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Abstract

一种预测人体危险落地机制的系统与方法,该系统由感知模块、计算模块、决策模块以及道路救援模块组成。在感知模块结合车辆当前速度以及人车距离而感知到人车碰撞无法避免时,决策模块可根据感知模块及计算模块反馈回来的数据,通过三条规则对人体危险落地机制进行预测,若是预测后得到的是危险人体落地机制,则向道路救援模块下达快速救援的指令,从而在短时间内实现快速救援以最大程度保障行人安全。
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