Affective Interface Confidence Alerts for Autonomous Vehicle Control
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Solution Overview
Problem
Autonomous vehicles face challenges in evaluating their operational confidence levels, particularly when sensor degradation or environmental factors reduce their ability to operate safely, necessitating mechanisms to alert human operators to assume control.
Innovation Solution
A vehicle system that assesses confidence levels through data from sensors and actuation layers, using confidence assessments to generate alerts via affective interfaces, such as voice and graphical displays, to inform operators when manual control is recommended.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicle systems operate without human intervention, then productivity and automation extent are improved, but reliability deteriorates when sensor degradation or environmental factors reduce operational confidence
Solution Approach 1:
The system continuously monitors sensor data quality and environmental conditions, comparing them against thresholds to generate confidence assessments. When confidence drops below thresholds, the system provides feedback to operators through alerts, creating a closed-loop monitoring system that maintains reliability during autonomous operation.
Solution Approach 2:
The patent introduces an intermediary confidence assessment mechanism that mediates between the autonomous driving system and human operators. This intermediary layer evaluates sensor degradation and environmental factors, translating complex technical parameters into actionable confidence levels that determine when human intervention is needed.
2Loss of information
If the system provides detailed alerts about confidence levels, then information completeness is improved, but device complexity increases due to multiple sensors and processing requirements
Solution Approach 1:
The system extracts only the critical confidence assessment information from complex sensor data streams, separating essential operational confidence metrics from detailed raw sensor information. This extraction approach provides operators with necessary confidence level information without requiring the full complexity of the underlying sensor processing systems.
Solution Approach 2:
The patent transforms complex multi-dimensional sensor data into simplified confidence level parameters through threshold-based evaluation. By changing the parameter representation from detailed sensor readings to discrete confidence levels (e.g., high/medium/low), the system maintains information utility while reducing computational and architectural complexity.
3Measurement precision
If the system monitors multiple sensor layers and confidence thresholds, then measurement precision is improved, but loss of time occurs during data processing and evaluation
Solution Approach 1:
The system pre-establishes confidence thresholds and evaluation criteria before operation begins. By having predetermined thresholds for sensor degradation and environmental factors, the system eliminates the need for complex real-time calculations, enabling rapid confidence assessment while maintaining precise measurement of operational reliability.
Solution Approach 2:
The patent implements partial monitoring by focusing on critical confidence thresholds rather than continuously analyzing all sensor parameters in detail. The system performs sufficient evaluation to determine confidence levels without excessive processing of every sensor data point, achieving acceptable measurement precision with reduced processing time.
Data Source
AI summary
Data may be collected relating to autonomous operation of a vehicle. A first confidence assessment concerning whether the vehicle should operate autonomously may then be generated, and it may be determined whether the first confidence assessment meets or exceeds a predetermined threshold. An alert may be provided via a user interface in the vehicle relating to ending autonomous operation of the vehicle if the first confidence assessment meets or exceeds the predetermined threshold.