Vehicle Threat Detection via Motion Parameter Analysis
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Solution Overview
Problem
Existing vehicle communication systems lack effective methods to timely identify and respond to a target vehicle following a host vehicle, which can lead to delayed incident reporting and response.
Innovation Solution
A method and system that compare the velocity, lane selection, and path selection of a target vehicle with respect to a host vehicle to determine a following risk assessment, transmitting data to a remote computer and actuating vehicle components to operate the host vehicle to a specified location for assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle communication systems use basic incident reporting methods, then system complexity is low, but response time is delayed and threat identification is ineffective
Solution Approach 1:
The system segments threat detection into multiple independent analysis components: velocity comparison, lane selection analysis, path selection tracking, and distance monitoring. Each component processes specific parameters separately and contributes to an overall following risk assessment score, enabling comprehensive threat identification without requiring a monolithic complex system
Solution Approach 2:
The system performs preliminary analysis of target vehicle behavior by continuously monitoring and comparing velocity, lane selections, and path selections before a threat is fully established. This early detection approach identifies potential following threats proactively, enabling timely response before incidents occur
2Measurement precision
If the system monitors multiple parameters (velocity, lane selection, path selection) to improve threat detection accuracy, then measurement precision increases, but device complexity increases
Solution Approach 1:
The monitoring system is divided into specialized sub-systems, each dedicated to tracking a specific parameter: velocity monitoring, lane selection detection, path selection tracking, and distance measurement. This segmentation allows each component to be optimized for its specific function while the integrated following risk assessment algorithm synthesizes all inputs to achieve high measurement precision
Solution Approach 2:
The following risk assessment algorithm serves as a universal processing unit that accepts multiple different parameter inputs (velocity, lane selection, path selection, distance) and produces a unified threat assessment output. This multi-functional approach consolidates complex monitoring into a single assessment mechanism
Data Source
AI summary
A method includes, based on comparing a velocity, lane selection and path selection of a target vehicle with respect to a host vehicle, determining a following risk assessment for the target vehicle relative to the host vehicle, determining the target vehicle is following the host vehicle based on the following risk assessment being above a threshold, and then transmitting data identifying the target vehicle to a remote computer and actuating vehicle components to operate the host vehicle to a location specified by the remote computer.