Autonomous Emergency Braking Phase Initiation Logic
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Solution Overview
Problem
Existing autonomous emergency braking systems often initiate braking phases too early or with excessive fluctuations due to measurement inaccuracies, leading to potentially risky driver behaviors and unnecessary interventions.
Innovation Solution
A method for advanced determination of emergency braking phases, including a warning phase, partial braking phase, and emergency braking phase, with predefined minimum periods and criticality thresholds to ensure timely and accurate initiation, accounting for tolerances and dynamic traffic situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous emergency braking systems initiate braking phases early to ensure safety, then collision avoidance capability is improved, but false interventions increase due to measurement inaccuracies
Solution Approach 1:
The system performs preliminary determination of multiple starting points (first, second, and third starting points) for different braking phases in advance, before the actual emergency braking situation occurs. This allows the system to project criticality functions ahead of time and establish minimum period criteria that must be met before initiating each phase, thereby reducing premature interventions caused by temporary measurement fluctuations.
Solution Approach 2:
The patent introduces buffer periods (minimum periods) between the detection of an emergency braking situation and the actual initiation of braking phases. These cushioning time intervals allow measurement inaccuracies to settle and prevent false interventions, while still maintaining safety by ensuring that if the situation persists through the buffer period, the braking intervention will be appropriately delayed but still executed.
2Measurement precision
If the system uses strict minimum period criteria to prevent false detections, then intervention accuracy is improved, but response time may be delayed
Solution Approach 1:
The braking process is segmented into multiple phases (warning phase, partial braking phase, and emergency braking phase), each with its own minimum period criterion and starting point. This segmentation allows the system to apply different levels of strictness to different phases - earlier phases have buffer periods for accuracy, while the final emergency braking phase can be initiated more rapidly once its specific criteria are met, thus balancing accuracy with response time.
3Productivity
If the system projects criticality functions in advance with multiple thresholds, then phase initiation timing is optimized, but computational complexity increases
Solution Approach 1:
The criticality function is projected in advance for multiple future time points, and multiple starting points for different braking phases are determined beforehand. This preliminary computation allows the system to simply compare current measurements against pre-calculated thresholds and timelines during actual operation, reducing real-time computational complexity while maintaining optimized phase initiation timing.
Data Source
AI summary
A method for autonomous emergency braking of an ego vehicle includes capturing driving-dynamics variables of the ego vehicle, capturing distance measurement signals, determining a longitudinal distance of the ego vehicle from an object in front, detecting an emergency braking situation based on the driving-dynamics variables and the distance measurement signals. The method further includes advanced determining or projecting, in response to the detecting the emergency braking situation, of first, second, and third starting points for initiation of a warning phase, a subsequent partial braking phase, and an emergency braking brake pressure. The advanced determining or projecting of the first, second, and/or third starting points includes: setting up a minimum period criterion with at least one minimum period and projecting, in advance in accordance with the longitudinal distance from the object, a criticality function that represents a criticality of the traffic situation.