ADAS Scope Manager for Risk-Based Driver Intervention
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Solution Overview
Problem
Advanced driver assistance systems lack the ability to adjust their operations based on the riskiness of driving situations and driver feedback, leading to inconsistent performance.
Innovation Solution
A scope manager is introduced to determine risk factors, adjust the scope of operation for perception, planning, and control modules, and provide driver feedback, enabling adaptive interventions such as warnings and automated actions based on risk thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If ADAS components perform the same operations on inputs without adjustment, then system simplicity is maintained, but context-awareness and adaptability to risk factors deteriorate
Solution Approach 1:
A scope manager component is introduced as an intermediary between sensor inputs and ADAS processing modules. This mediator determines the scope of operation for perception, planning, and control modules based on risk factors, enabling context-awareness without requiring each module to independently adjust its complexity
Solution Approach 2:
The system dynamically adjusts the operational scope of ADAS modules based on real-time risk factor assessment. When risk is high, the scope manager expands monitoring and intervention capabilities; when risk is low, it reduces operational intensity, allowing the system to adapt its complexity to current driving conditions
2Reliability
If ADAS systems do not provide consistent adjustment based on driver feedback, then system reliability is improved, but driver control and safety deteriorate
Solution Approach 1:
The scope manager incorporates driver feedback as a key input for determining operational scope. Driver actions, corrections, and interactions with the system are continuously monitored and fed back to adjust the risk factor assessment and subsequent ADAS intervention levels, ensuring both consistency and driver control
Data Source
AI summary
A vehicle system of a vehicle may include one or more processors that receive first data indicating a driving environment of the vehicle, determine a risk factor indicating a riskiness of a driving situation of the vehicle based on the first data, when the risk factor is between a first threshold value and a second threshold value, output information to a driver of the vehicle, when the risk factor is between the second threshold value and the third threshold value, output a warning to the driver of the vehicle, and when the risk factor is above the third threshold value, cause the vehicle to perform a driving action that reduces the riskiness of the driving situation.