AEB Decision-Making Using Image and Numerical Collision Reasoning
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Solution Overview
Problem
Existing autonomous emergency braking (AEB) systems in vehicles rely on a single decision-making model, which can lead to false triggering in non-emergency situations due to perception errors or interference, posing a threat to vehicle safety and affecting the driving experience.
Innovation Solution
An intelligent driving decision-making method that combines a numerical domain analysis with an image domain reasoning to determine the intersection relationship between a vehicle and a target object, using multiple decision-making models to enhance accuracy and reduce false triggering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single decision-making model is used in AEB systems, then the system structure is simple, but the decision-making accuracy decreases leading to false triggering
Solution Approach 1:
The patent combines multiple decision-making models (first decision-making model and second decision-making model) into a unified AEB system. The system integrates different detection approaches including image domain analysis and numerical domain analysis to make comprehensive emergency braking decisions, thereby improving decision-making accuracy while maintaining reasonable system complexity through structured integration
2Ease of operation
If a single decision-making model is used in AEB systems, then the system is easy to operate, but false triggering occurs in non-emergency situations
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors detection results from multiple models and adjusts decision-making based on integrated analysis. The system uses feedback from both image domain intersection relationships and numerical domain calculations to verify emergency conditions before triggering AEB, reducing false positives while maintaining operational simplicity through automated multi-model coordination
Data Source
AI summary
An intelligent driving decision-making method, device, storage medium, and electronic device are disclosed. The method includes: determining, based on driving data detected by a vehicle, a first motion parameter of the vehicle, a second motion parameter of a target object with a collision risk relative to the vehicle, and a safety margin; determining, based on the first motion parameter and the second motion parameter, a time to collision at which the vehicle is predicted to collide with the target object, and an intersection relationship between the vehicle and the target object in an image domain during a collision period from the current time to a collision time; determining, based on the first motion parameter, the second motion parameter, the safety margin, and the time to collision, an emergency braking decision-making result in response to the time to collision being less than or equal to the preset duration threshold and the intersection relationship being an intersection; performing intelligent driving of the vehicle based on the emergency braking decision-making result.