Vehicle Side Collision Risk Estimation Using Road Line Markers
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Solution Overview
Problem
Side collision warning systems often inaccurately trigger warnings when a target vehicle is following the host vehicle in a curved lane, due to the curvature of the road affecting the estimation of the target vehicle's path.
Innovation Solution
A side collision risk estimation system that includes a speed sensor, road line markers detector, movement sensor, and object detector, which calculates a compensated heading and predicted lateral change in position for both the host and target vehicles, using a controller to evaluate the side collision risk by combining current speeds and headings, and accounting for road characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system uses relative heading between host vehicle and target vehicle to estimate target vehicle path, then the system can detect side collision risk, but false warnings are triggered in curved lanes
Solution Approach 1:
The system transforms the path estimation approach by changing from using relative heading angles to using absolute road line headings detected via vision sensors. This parameter change allows the system to account for road curvature by directly measuring the actual road geometry rather than inferring it from vehicle relative positions, thereby eliminating false warnings in curved lanes while maintaining side collision detection capability
Solution Approach 2:
The system introduces road line markers as an intermediary element between the vehicles and the collision risk assessment. By detecting and tracking road line markers ahead of both the host and target vehicles, the system uses the road geometry itself as a mediator to determine whether a side collision is truly imminent, filtering out false positives that occur on curved roads where relative heading alone would indicate potential collision
Data Source
AI summary
A side collision risk estimation system for a vehicle comprises a speed sensor, a road line markers detector, a movement sensor, an object detector, and a controller. The controller is configured to estimate: the current speed of the vehicle, a heading of the adjacent road line ahead of the vehicle, a heading of the vehicle, a compensated heading of the vehicle, a predicted lateral change position of the vehicle, a heading of a target vehicle relative to the vehicle, the current speed of the target vehicle, the current lateral distance between the vehicles, the heading of the adjacent road line ahead of the target vehicle, a compensated relative heading of the target vehicle, a predicted lateral change position of the target vehicle, a predicted lateral distance over time between the vehicles, and a side collision risk over time from the predicted lateral distance between the vehicles.