Automated Driving System Driver Preference Adaptation
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Solution Overview
Problem
Automated driving systems fail to consider a driver's preference, leading to discomfort and strangeness during automated driving, as they do not replicate the driver's manual driving habits effectively, and cannot account for rare driving scenarios.
Innovation Solution
An automated driving system that includes an automated driving control device and a driver response detection device, which actively changes automated driving parameters to search for the driver's acceptable range by determining positive or negative responses, allowing the system to adapt to the driver's preferences and learn from rare driving patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the automated driving control device simply imitates the driver's manual driving habits, then the driver's preference is considered, but the driver feels senses of strangeness and discomfort because automated driving is not under driver control
Solution Approach 1:
The system dynamically adjusts automated driving parameters within a learned acceptable range rather than fixing them to imitated manual driving values. The control device actively changes parameters like acceleration, deceleration, and steering speed within boundaries the driver has implicitly accepted, making the automation adaptive rather than static.
Solution Approach 2:
The system incorporates driver response detection to continuously monitor whether the driver's reactions indicate acceptance or discomfort. This feedback loop allows the system to learn the driver's acceptable range and adjust future parameter changes accordingly, preventing discomfort while maintaining adaptability.
2Measurement precision
If the automated driving control device actively changes automated driving parameters to search for driver's acceptable range, then driver preference is accurately captured, but the system complexity increases
Solution Approach 1:
The driver response detection device and acceptable range search function enable the system to self-calibrate to each driver's preferences automatically. The system performs parameter changes and learns acceptable ranges without requiring manual programming or complex external calibration equipment, reducing overall system complexity while maintaining high measurement precision.
Solution Approach 2:
The system systematically varies automated driving parameters (acceleration, deceleration, steering speed) to map the driver's acceptable range. By methodically changing these parameters and observing driver responses, the system efficiently identifies boundaries without requiring complex algorithms or extensive computational resources.
3Loss of information
If the automated driving control device executes acceptable range search processing, then valuable data on rare driving scenarios is captured for AI learning, but the processing time and computational load increase
Solution Approach 1:
The system performs acceptable range search processing and captures driver response data during normal automated driving operations. By collecting data continuously as driving scenarios occur naturally, the system accumulates information about rare scenarios without requiring separate dedicated testing sessions or interrupting normal operations.
Solution Approach 2:
The acceptable range search processing operates continuously during automated driving rather than in discrete batches. The system constantly monitors driver responses and accumulates data on parameter acceptability, ensuring that even rare driving scenarios are captured over time without requiring dedicated processing intervals that would waste time.
Data Source
AI summary
During automated driving of a vehicle, an automated driving system searches for a driver's acceptable range being a range of an automated driving parameter accepted by a driver of the vehicle. A positive response is the driver's response when the automated driving parameter is within the driver's acceptable range. A negative response is the driver's response when the automated driving parameter is beyond the driver's acceptable range. The automated driving system executes: parameter change processing that actively changes the automated driving parameter; response determination processing that determines whether the driver's response to the parameter change processing is the positive response or the negative response based on a result of detection by a driver response detection device; and search processing that repeatedly executes the parameter change processing and the response determination processing to search for the driver's acceptable range.