Vehicle Intersection Monitoring via Data Exchange
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Solution Overview
Problem
Current vehicle collision warning systems are inadequate in effectively predicting and preventing collisions at intersections, as they lack comprehensive data exchange and scenario-based monitoring between vehicles.
Innovation Solution
A vehicle intersection monitoring method that exchanges information between host and remote vehicles, including location, heading, and intended maneuvers, to identify intersection scenarios and monitor their relationship using a processor-driven algorithm, enabling timely warnings and potential trajectory adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle collision warning systems use traditional single-vehicle monitoring, then system complexity is low, but collision prediction accuracy at intersections is insufficient
Solution Approach 1:
The patent introduces communication devices as intermediaries between vehicles to exchange navigation data, vehicle status, and maneuver information. This enables multi-vehicle collision prediction without requiring direct complex integration of all vehicle systems, thus improving accuracy while managing complexity through standardized communication protocols
Solution Approach 2:
The system segments collision warning functionality into independent modules: data collection from various sensors, communication with other vehicles, scenario-based prediction algorithms, and warning generation. This modular approach allows high prediction accuracy through comprehensive data processing while keeping individual system components relatively simple
2Reliability
If the system monitors multiple intersection scenarios with various vehicle maneuvers, then collision detection reliability improves, but processing time and computational load increase
Solution Approach 1:
The system pre-establishes multiple collision scenarios (straight-through, left-turn, right-turn) and their corresponding geometric relationships before actual collision risk occurs. When data from other vehicles is received, the system matches current conditions against pre-defined scenarios, enabling rapid classification and warning generation without time-consuming real-time analysis of all possible maneuvers
Solution Approach 2:
The system dynamically adjusts monitoring parameters based on detected maneuver types and vehicle positions. Instead of uniformly analyzing all scenario parameters continuously, the system changes focus to specific geometric parameters relevant to current situations (e.g., angle relationships for turning maneuvers, distance-time projections for straight-through), reducing computational load while maintaining high reliability
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, with the host vehicle information including information pertaining to a host vehicle location, a host vehicle heading and a host vehicle intended next maneuver and the remote vehicle information including information pertaining to a remote vehicle location, a remote vehicle heading and a remote vehicle intended next maneuver. The method further includes identifying a road intersection relating to the host vehicle heading and the remote vehicle heading, selecting an intersection scenario from a plurality of intersection scenarios based on the host vehicle information and the remote vehicle information, and 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.