Intersection Collision Warning via Regional Segmentation
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Solution Overview
Problem
Existing object detection systems for vehicles are ineffective in consistently warning drivers of potential collisions when turning left or right at intersections, as they rely on a single algorithm that fails to account for varying vehicle speeds and behaviors, leading to inadequate timing for warnings.
Innovation Solution
A system and method that segment intersections into different regions (approach, waiting, and no-waiting regions) based on predicted vehicle paths and collision threat levels, using a combination of sensor data, map information, and V2X communications to assess collision risks and provide timely warnings or automatic braking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single algorithm is used for collision warning at intersections, then the system is simple to implement, but the accuracy and timeliness of collision warnings deteriorate due to inability to account for varying vehicle speeds and behaviors
Solution Approach 1:
The patent segments the intersection into multiple distinct regions (approach region, waiting region, no-waiting region) and applies different collision assessment algorithms to each region. This allows the system to account for varying vehicle speeds and behaviors in different spatial contexts, significantly improving collision warning accuracy while managing complexity through modular regional processing
2Loss of time
If region-based segmentation is implemented for different collision scenarios, then the timeliness and accuracy of collision warnings improve, but the computational complexity and processing time increase
Solution Approach 1:
The patent performs preliminary actions by pre-segmenting the intersection into defined regions and pre-establishing assessment criteria for each region before actual collision assessment occurs. This allows the system to quickly determine which region a vehicle is in and apply the appropriate pre-configured algorithm, improving warning timing while managing computational complexity through preparatory structuring
Solution Approach 2:
The patent applies local quality by using different assessment algorithms optimized for specific regional characteristics. Each region has tailored assessment criteria matching its unique traffic patterns and collision risks, enabling timely and accurate warnings without requiring a single overly complex universal algorithm
3Reliability
If automatic braking control is added to prevent collisions, then the effectiveness of collision avoidance improves, but the system complexity and potential for false activation increase
Solution Approach 1:
The patent implements feedback mechanisms that continuously monitor collision risk assessments and provide input to the automatic braking control system. This feedback loop ensures braking is activated only when genuine collision threats are detected through the regional assessment algorithms, improving collision avoidance effectiveness while reducing false activations through intelligent control
Data Source
AI summary
A system and method for warning a driver of a host vehicle of a potential collision with other vehicles when turning at an intersection. The method includes determining if the host vehicle is likely to turn at the intersection, and if so, segmenting the intersection into a plurality of different regions, where each region has a different level of collision threat risk. The method obtains the speed, velocity and position of the host vehicle and any relevant remote vehicles in the intersection. The method determines a predicted path of the host vehicle and the predicted path of the remote vehicles. The method then determines whether the host vehicle and the remote vehicles will simultaneously occupy a collision zone in the intersection based on the predicted paths, and if so, issues a warning to the driver of the collision risk or apply vehicle controls to avoid or mitigate the collision risk.