Autonomous Vehicle Command Validation for Multi-Operator Intervention
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Solution Overview
Problem
Existing autonomous vehicle systems lack fault-tolerance and reliability due to their reliance on a single human operator, which can lead to unavailability and communication link failures, especially in unmanned aerial vehicles (UAVs) performing complex tasks.
Innovation Solution
A system that allows multiple remote human operators to intervene in autonomous vehicle operations by selecting a pool of operators, providing real-time situation reports, and validating commands to ensure consistent and reliable operation, using a finite state machine to manage state transitions and prevent stale commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single human operator is used to control autonomous vehicles, then the system is simpler to manage, but the system lacks fault-tolerance and reliability when the operator becomes unavailable or communication links fail
Solution Approach 1:
The system segments the operator function by creating a pool of multiple independent operators instead of relying on a single operator. Each operator can independently issue commands to the autonomous vehicle, providing redundancy and fault-tolerance. The command verification value mechanism segments the command validation process to ensure only valid commands from authorized operators are executed.
Solution Approach 2:
The system changes the parameter of operator quantity from one to multiple, fundamentally altering the system's reliability characteristics. By introducing multiple operators with unique command verification values, the system transforms from a single-point-of-failure architecture to a redundant architecture that can tolerate operator unavailability.
2Reliability
If multiple remote operators are allowed to intervene, then fault-tolerance improves, but command validation complexity increases to prevent stale or conflicting commands
Solution Approach 1:
The system implements feedback through command verification values that are embedded in each command and validated by the autonomous vehicle before execution. This feedback mechanism ensures that commands are from authorized operators and have not become stale, maintaining command execution consistency while managing the complexity of multiple operator intervention.
Solution Approach 2:
The system performs preliminary action by embedding command verification values in commands before they are transmitted to the autonomous vehicle. This pre-validation approach prevents stale or unauthorized commands from being executed, ensuring reliability while the verification mechanism manages the complexity of multiple operators.
3Ease of operation
If real-time situation reports are provided to operators, then operator awareness and response quality improve, but communication bandwidth and system complexity increase
Solution Approach 1:
The system applies partial action by providing situation reports that contain only the essential information needed for operator decision-making, rather than transmitting all possible data. This approach improves operator situational awareness while managing communication bandwidth constraints by transmitting only the most critical operational parameters.
Data Source
AI summary
An autonomous vehicle system is configured to receive vehicle commands from one or more parties and to execute those vehicle commands in a way that prevents the execution of stale commands. The autonomous vehicle system includes a finite state machine and a command counter or stored vehicle timestamp, which are used to help reject invalid or stale vehicle commands.