Lane Change Danger Detection Using Internal Vehicle Inference
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Solution Overview
Problem
Existing methods for assessing the danger potential of lane changes on highways are inadequate, particularly due to underestimation of speed differences between lanes, leading to potential collisions, and are limited by the range of sensors used in current systems.
Innovation Solution
A method that evaluates the danger potential of a lane change by monitoring the detection range and positions/speeds of internal vehicles to determine if external vehicles can reach a target region, using cooperative behavior assumptions and traffic rules to assess conflict risks, and outputs warnings or prevents lane changes as necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the detection range of sensors is increased to detect external vehicles, then the ability to detect rapidly approaching vehicles improves, but the device complexity and cost increase significantly
Solution Approach 1:
The patent uses internal vehicles detected within the sensor range as intermediary objects to infer the presence and characteristics of external vehicles beyond the detection range. By analyzing the motion patterns, speeds, and positions of internal vehicles, the system indirectly detects external vehicles without requiring direct sensor contact, thus avoiding the need for extended detection range hardware
Solution Approach 2:
The patent replaces the mechanical/sensor-based direct detection approach with a computational inference approach. Instead of using more powerful sensors to directly detect external vehicles, the system uses algorithms to calculate the likely presence, speed, and position of external vehicles based on the behavior of internal vehicles, substituting physical detection with mathematical modeling
2Reliability
If the detection range is extended to 300m to detect vehicles at 250 km/h, then the reliability of detecting rapidly approaching vehicles improves, but the device complexity exceeds current sensor capabilities
Solution Approach 1:
The system performs preliminary detection and tracking of internal vehicles before the external vehicle becomes a direct threat. By continuously monitoring internal vehicles within the current detection range and calculating their trajectories, the system prepares advance warnings about potential external vehicle conflicts, enabling early driver alerting before the external vehicle enters the critical detection zone
Solution Approach 2:
The patent creates a virtual model or copy of the external vehicle's characteristics (speed, position, trajectory) based on observations of internal vehicles. This virtual representation allows the system to assess collision risks and predict external vehicle behavior without requiring direct sensor detection of the actual external vehicle, effectively copying its properties through inference
Data Source
AI summary
A method for ascertaining the danger potential of a lane change of an ego vehicle from the currently used traffic lane to an adjacent traffic lane, a detection range in the external space of the ego vehicle being monitored, and the effect of objects identified in the detection range on the danger potential is evaluated, and based on positions and speeds of internal other vehicles identified in the detection range, it is determined whether external other vehicles located outside the detection range are able to reach a target region in which the ego vehicle is located following the intended lane change. A method for the at least partially automated control of an ego vehicle, in which in the case of an intended lane change, the danger potential of this lane change is evaluated, and the lane change is prevented if external other vehicles are able to reach the target region.