Vehicle Brake Assist Using Learned Driver Braking Characteristics
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Solution Overview
Problem
In manual driving modes, drivers may initiate braking operations late due to inattentiveness, leading to insufficient braking force and unexpected emergency braking, causing discomfort and safety concerns.
Innovation Solution
A driving assistance device equipped with a traveling environment recognizer, a braking force learner, and a braking force complementer, which recognizes the driving environment, learns braking force characteristics based on the driver's braking operation, and complements the braking force when the driver initiates braking late by generating an appropriate braking force based on the learned characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the driver performs manual braking operation, then the driver maintains control and autonomy, but the braking force may be insufficient when the driver reacts late
Solution Approach 1:
The system learns the driver's own braking characteristics through repeated observations of their braking operations, then uses this learned model to automatically complement the braking force when needed. The ECU 24 serves itself by using the driver's past behavior patterns to enhance their current braking actions, maintaining autonomy while ensuring sufficiency.
Solution Approach 2:
The system performs preliminary learning of the driver's braking characteristics during normal driving operations before they are needed. By continuously acquiring and storing braking force characteristic learning values during regular driving, the system prepares the braking support model in advance, so when late braking detection occurs, the complementation can immediately occur without delay.
2Reliability
If the system provides braking support to compensate for late braking, then safety is improved, but the driver may experience discomfort due to unexpected intervention
Solution Approach 1:
The system applies different levels of braking support based on the specific situation and driver characteristics. Rather than uniform intervention, the braking force complementation is locally adjusted according to the learned driver profile - some drivers receive more support than others based on their individual reaction patterns and braking styles, making the intervention feel more natural and less intrusive.
Solution Approach 2:
The system continuously monitors the driver's braking operations and compares the actual braking timing with the predicted optimal timing based on the learned model. This feedback loop allows the system to detect when complementation is needed and to adjust the support level, ensuring that intervention only occurs when genuinely necessary rather than creating unnecessary discomfort.
3Measurement precision
If the system learns braking characteristics from driver behavior, then braking precision is improved, but the system complexity increases
Solution Approach 1:
The system replaces complex mechanical braking adjustment mechanisms with electronic learning and control. Instead of physical adjustments or multiple mechanical components, the ECU 24 uses software-based learning algorithms to acquire braking characteristics and automatically calculate complementation forces, reducing mechanical complexity while improving precision through data-driven adaptation.
Data Source
AI summary
A driving assistance device for a vehicle includes a traveling environment recognizer, a braking force learner, and a braking force complementer. The traveling environment recognizer is configured to recognize traveling environment information related to an outside of the vehicle. The braking force learner is configured to, in a case where a driver who drives the vehicle has started a brake operation against a braking target recognized ahead based on the traveling environment information before a timing set based on a correlation between the vehicle and the braking target, acquire a braking force characteristic learning value based on a braking force generated from start to end of braking performed by the brake operation. The braking force complementer is configured to, in a case where the driver has started the brake operation after the set timing, complement the braking force based on the braking force characteristic learning value.