Intersection Collision Avoidance Using Coordinate-Transformed Vehicle Paths
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Solution Overview
Problem
Current vehicle collision avoidance systems face challenges in accurately and quickly detecting remote vehicle positions at intersections, particularly in complex scenarios where data processing is time-consuming and computational loads are high, and they often require line-of-sight conditions.
Innovation Solution
A method and system that involve receiving and processing host and remote vehicle driving information to generate and transform position functions, using a transformation coordinate system to determine collision possibilities through data communication, allowing for rapid detection of remote vehicles and collision avoidance without relying on sensors, even in non-line-of-sight environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional collision avoidance systems use sensor-based detection and complex data processing, then measurement precision may be improved, but processing time increases and productivity decreases
Solution Approach 1:
The patent replaces sensor-based mechanical detection systems with a mathematical calculation system. Instead of using sensors to detect remote vehicle positions, the system uses position functions and coordinate transformations to calculate positions based on communication data, significantly reducing processing time while maintaining accuracy
Solution Approach 2:
The patent creates mathematical models (position functions) that copy and represent the physical positions of vehicles. By working with these mathematical representations rather than raw sensor data, the system achieves fast processing while maintaining detection precision
2Measurement precision
If conventional systems process complex intersection scenarios with multiple vehicles, then measurement precision may be improved, but device complexity increases
Solution Approach 1:
The patent segments the complex problem of collision detection into distinct mathematical steps: establishing position functions, defining coordinate systems, calculating transformations, and determining collision possibilities. This segmentation simplifies the overall system while maintaining high detection accuracy
Solution Approach 2:
The patent changes the parameters from sensor-based physical measurements to mathematical coordinates and position functions. By transforming the problem into a coordinate geometry framework, the system handles complex scenarios with simpler computational parameters
3Ease of operation
If conventional systems rely on line-of-sight conditions for detection, then ease of operation is maintained, but adaptability to non-line-of-sight environments deteriorates
Solution Approach 1:
The patent replaces line-of-sight optical detection with mathematical calculation based on communication-exchanged position data. This substitution eliminates the line-of-sight requirement while keeping the operation simple, as the system only needs to process coordinate transformations regardless of environmental conditions
Data Source
AI summary
A vehicle collision avoidance method includes receiving host vehicle driving information, receiving remote vehicle driving information, generating a host vehicle position function and a remote vehicle position function, setting a transformation coordinate system, calculating a rotation angle, transforming the host vehicle position function and the remote vehicle position function to a transformed host vehicle position function and a transformed remote vehicle position function, respectively, using the rotation angle, determining a collision possibility between the host vehicle and the remote vehicle using the transformed host vehicle position function and the transformed remote vehicle position function, and controlling the host vehicle depending on the collision possibility.