Automated Driving System Driver Intent Detection
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Solution Overview
Problem
Automated driving systems often frustrate drivers by incorrectly determining control, either taking over when the driver intends to control the vehicle or failing to take control when the driver is not actively engaged, due to inaccuracies in single sensor inputs.
Innovation Solution
The system uses a combination of sensor signals from multiple sensors, such as torque and hold sensors, to accurately determine driver intent, managing transitions between operating states to prevent incorrect control handovers and ensure safe driving features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If single sensor input is used to determine driver intent, then device complexity is reduced, but measurement precision deteriorates leading to incorrect control decisions
Solution Approach 1:
The patent combines multiple sensor inputs (torque sensor, hold sensor, and potentially other sensors) to determine driver intent. By merging the data from these different sensors, the system achieves more accurate measurement of driver intent while maintaining reasonable system complexity through integrated processing.
Solution Approach 2:
The control system is designed to handle multiple sensor types and process their inputs universally through a single control module. This multi-functional approach allows the same system to process various sensor signals (torque, hold, and other potential sensors) to determine driver intent across different operating conditions.
2Extent of automation
If automated driving system takes control based on inaccurate sensor interpretation, then automation extent increases, but reliability deteriorates due to incorrect control handovers
Solution Approach 1:
The system continuously monitors sensor inputs and adjusts control decisions based on real-time feedback from multiple sensors. By monitoring torque sensor signals, hold sensor signals, and other sensor data, the system can detect when the driver intends to take control and adjust automation engagement accordingly, improving the reliability of control handovers.
Solution Approach 2:
The system uses sensor signals to predict driver intent before actual control actions are taken. By analyzing torque sensor and hold sensor signals in advance, the system can prepare for upcoming control handovers, ensuring smoother and more reliable transitions between automated and manual control modes.
Data Source
AI summary
Methods and systems for controlling a driving feature for an automated driving system are provided. In one embodiment, a method includes: receiving a first sensor signal from a first sensor; receiving a second sensor signal from a second sensor; selectively determining a driver intent based on at least one of the first sensor signal and the second sensor signal; and controlling the driving feature based on the driver intent.