Vehicle Intersection Monitoring via Dynamic Scenario Assessment
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Solution Overview
Problem
Current vehicle collision warning systems are inadequate in effectively predicting and mitigating potential collisions at intersections, as they lack advanced algorithms and real-time data exchange between vehicles to accurately assess intersection scenarios and driver intentions.
Innovation Solution
A vehicle intersection monitoring system that exchanges information between host and remote vehicles, uses GPS and DSRC technology to identify intersection scenarios, and employs algorithms to assess the location relationship and potential contact, issuing warnings and performing threat mitigation operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle collision warning systems use basic location tracking, then the system structure remains simple, but the system cannot accurately predict potential collisions at intersections
Solution Approach 1:
The patent introduces an intermediary algorithm that processes location data from the host vehicle and remote vehicles to predict potential collision scenarios at intersections. This intermediary layer transforms basic location tracking into accurate collision prediction without requiring fundamental changes to the overall system structure.
Solution Approach 2:
The system performs preliminary identification of intersection scenarios and potential collision risks before actual contact occurs. By analyzing location relationships and predicting future positions of vehicles, the system issues warnings in advance, enabling preventive action rather than reactive response.
2Reliability
If the system monitors all vehicle interactions continuously, then collision detection reliability improves, but information processing time increases
Solution Approach 1:
The patent applies local quality by focusing monitoring resources on specific high-risk scenarios at intersections rather than uniformly monitoring all vehicle interactions. The system identifies and prioritizes intersection scenarios where collision risk is highest, allocating processing power selectively to these critical situations.
Solution Approach 2:
The system changes monitoring parameters dynamically based on vehicle location and intersection proximity. When vehicles approach intersections, the system increases monitoring intensity and applies scenario-based algorithms. In non-critical situations, monitoring intensity is reduced, optimizing the balance between detection reliability and processing time.
3Reliability
If the system issues warnings for all potential scenarios, then safety coverage is maximized, but false alarms increase
Solution Approach 1:
The patent implements dynamic warning issuance based on selected intersection scenarios. Rather than issuing static warnings for all potential situations, the system adapts warning behavior to the specific scenario identified (e.g., host vehicle turning left across path of oncoming traffic). This dynamic approach ensures comprehensive safety coverage while reducing false alarms by matching warnings to actual risk levels.
Data Source
AI summary
A vehicle intersection monitoring method includes exchanging host vehicle information and remote vehicle information between a host vehicle and a remote vehicle, identifying a road intersection based on at least one of the host vehicle information and the remote vehicle information, and selecting an intersection scenario from a plurality of intersection scenarios based on the host vehicle information and the remote vehicle information. The method further includes monitoring, by operation of a processor, a location relationship between the host vehicle and the remote vehicle according to an algorithm that is determined based on the selected intersection scenario, to determine whether a possibility of contact between the host vehicle and the remote vehicle exists proximate to the intersection, and performing a threat mitigation operation while the possibility of contact exists.