AEB Estimated Acceleration Using Target Stop Likelihood
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Solution Overview
Problem
Traditional automatic emergency braking (AEB) systems rely on simple kinetic equations that fail to account for varying scenarios, leading to inaccurate estimated accelerations and resulting in either delayed or premature braking inputs, which can cause collisions or discomfort.
Innovation Solution
The system determines whether a target is likely to be stopped before a potential collision and selects an appropriate estimated-acceleration function to calculate the necessary acceleration for the host vehicle to avoid the collision, using equations based on the target's velocity, acceleration, and relative distance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional simple kinetic equations are used to determine estimated acceleration, then the calculation is simple and fast, but the accuracy is insufficient and cannot account for varying contexts such as target acceleration
Solution Approach 1:
The patent segments the acceleration determination process into multiple contexts based on target behavior (accelerating, decelerating, stationary). Different kinetic equations are selected based on the detected context, allowing each segment to use the most appropriate calculation method for that specific situation, thereby improving overall accuracy without requiring a single overly complex equation
Solution Approach 2:
The system dynamically selects among multiple kinetic equations based on real-time detection of target acceleration state. The selection between different acceleration determination functions is not static but adapts to changing conditions, allowing the system to optimize accuracy for each specific scenario while maintaining computational efficiency
2Reliability
If estimated acceleration is miscalculated, then the AEB system may apply braking inputs that are delayed or insufficient, but this can cause the vehicle to fail to avoid collisions
Solution Approach 1:
The system incorporates feedback by continuously monitoring target acceleration state and using this information to select the appropriate kinetic equation. This feedback loop ensures that the acceleration calculation adapts to actual target behavior, improving reliability of collision avoidance by selecting the most accurate calculation method for each situation
Solution Approach 2:
The patent changes the parameters of the kinetic equations based on target acceleration state. When the target is detected to be accelerating or decelerating, different parameters (such as target acceleration values) are incorporated into the calculation, allowing the system to maintain high measurement precision and reliability across varying conditions
3Ease of operation
If estimated acceleration is miscalculated, then the AEB system may apply braking inputs prematurely or unnecessarily, which may be uncomfortable for occupants and impact safety of other vehicles
Solution Approach 1:
By segmenting the calculation into different contexts (accelerating target, decelerating target, stationary target), the system avoids applying premature or unnecessary braking. Each segment uses equations appropriate to that context, preventing false collision avoidance scenarios that would cause uncomfortable braking events
Solution Approach 2:
The patent replaces the single mechanical kinetic equation approach with a multi-equation selection system that substitutes the inappropriate equation with the appropriate one based on target behavior. This substitution prevents calculation errors that would lead to premature braking, improving ease of operation and occupant comfort
Data Source
AI summary
The techniques and systems herein enable estimated-acceleration determination for AEB. Specifically, for a potential collision, a determination is made as to whether the target of the potential collision is likely to be stopped prior to the potential collision (e.g., due to its own braking). One of a plurality of estimated-acceleration functions is then selected based on whether the target is likely to be stopped prior to the potential collision. Using the selected estimated-acceleration function, an estimated acceleration to avoid the potential collision is calculated. By selecting different estimated-acceleration functions based on whether targets are likely to be stopped prior to potential collisions, more-accurate estimated accelerations may be generated, thus enabling better collision avoidance and/or avoiding unnecessarily strong braking.