Autonomous Vehicle Supervisory Monitoring for Control Redundancy
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Solution Overview
Problem
As vehicles become increasingly complex with automated operation components, there is a need for systems that can autonomously monitor and provide supervisory redundancy to ensure safe and effective decision-making, especially in unexpected circumstances where automated systems may fail to mimic human control responses.
Innovation Solution
A monitoring system that receives sub-system data, contextual data, and control data from autonomous vehicles, analyzes this information to determine a control result, and provides an assessment to a management system, mimicking the role of a human pilot monitoring system to offer recommendations and suggestions for improved control operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automated operation components are added to vehicles, then productivity and automation extent are improved, but device complexity increases and reliability may deteriorate
Solution Approach 1:
The monitoring system is divided into distinct functional modules: a data reception module that collects sub-system data, contextual data, and control data; an analysis module that processes the received data; and an assessment module that generates control status assessments. This segmentation allows each module to specialize in specific tasks, managing complexity while maintaining high automation capability.
Solution Approach 2:
The monitoring system acts as an intermediary between the vehicle's control systems and the management system. It receives data from multiple vehicle sub-systems, analyzes this information, and provides assessments to the management system, thereby mediating the complex interactions between various automated components and simplifying the overall system architecture.
2Productivity
If automated operation components are added to vehicles, then productivity is improved, but reliability deteriorates due to potential system failures
Solution Approach 1:
The monitoring system continuously receives control data from the vehicle's control system and sub-system data from various vehicle components. It analyzes this feedback information in real-time and generates assessments that are sent back to the management system, creating a closed-loop feedback mechanism that enhances reliability by enabling continuous monitoring and assessment of automated operations.
Solution Approach 2:
The monitoring system performs preliminary analysis of control data and sub-system data before critical failures occur. By continuously assessing the control status and analyzing trends in the received data, the system can identify potential issues early and provide warnings or recommendations, preventing reliability deterioration before it impacts productivity.
3Measurement precision
If comprehensive data collection is implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The monitoring system is designed with multi-functionality to handle diverse data types: it receives sub-system data from various vehicle components, contextual data about operational conditions, and control data from the control system. A single integrated monitoring device performs multiple functions including data collection, validation, analysis, and assessment generation, thereby achieving comprehensive measurement precision without proportionally increasing device complexity.
Data Source
AI summary
Systems and methods are disclosed for monitoring operations of an autonomous vehicle. For instance, a monitoring device receives sub-system data from one or more sub-systems of the autonomous vehicle. The device receives contextual data of the vehicle that comprises one or more situational circumstances of the vehicle during operation. The device receives control data from a control system of the vehicle and analyzes the sub-system data, the contextual data, and the control data to determine a control result. The device provides an assessment to a management system of the overall control status of the vehicle.