Autonomous Vehicle Convoy Coordination for Remote Compliance Inspections
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Solution Overview
Problem
Current systems for controlling autonomous vehicles lack the ability to efficiently receive and implement commands from remote third-party entities for vehicle inspections and diagnostics across different jurisdictions, leading to inefficiencies in fleet management and compliance with regulatory requirements.
Innovation Solution
A computer-implemented method and system that enables autonomous vehicles to receive and execute commands from remote computing systems, providing vehicle diagnostics and inspection information to third-party entities, utilizing a Vehicle API platform for secure communication and data processing, allowing for real-time monitoring and compliance with regulations across various jurisdictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous vehicles perform inspections and diagnostics at intermittent stops, then compliance with regulatory requirements is maintained, but operational efficiency decreases and fleet productivity is reduced
Solution Approach 1:
The system enables continuous inspection and diagnostics of autonomous vehicles during normal operation through remote monitoring. Vehicle sensors continuously collect diagnostic data that is transmitted to remote third-party entities, eliminating the need for intermittent stops while maintaining compliance. This continuous monitoring approach keeps the fleet productive without interruption.
Solution Approach 2:
The autonomous vehicles perform self-diagnosis and self-inspection through onboard sensors and computing systems. The vehicles automatically collect and transmit their own diagnostic data to remote entities, enabling them to service themselves without requiring external inspection stops. This self-service capability maintains productivity while ensuring regulatory compliance.
2Reliability
If autonomous vehicles receive commands from multiple third-party entities across different jurisdictions, then compliance with local regulations is improved, but system complexity increases
Solution Approach 1:
The system introduces a remote computing system as an intermediary that receives commands from multiple third-party entities across different jurisdictions. This intermediary processes, standardizes, and relays commands to the autonomous vehicle, simplifying the communication architecture. The vehicle interacts with a single interface rather than multiple jurisdiction-specific systems, reducing complexity while maintaining compliance with all local regulations.
Solution Approach 2:
The communication system is designed with universal functionality to handle commands from various third-party entities across different jurisdictions through a standardized interface. The system can adapt to different regulatory requirements while maintaining a consistent communication protocol, reducing the need for multiple specialized communication channels and thereby reducing overall system complexity.
3Measurement precision
If real-time vehicle diagnostics data is transmitted to remote entities, then inspection accuracy is improved, but data transmission requirements and system resource usage increase
Solution Approach 1:
The system transmits only the necessary diagnostic data required for compliance inspections rather than all available vehicle data. The remote computing system determines which specific parameters need to be monitored and transmitted, reducing data transmission volume and energy consumption while maintaining sufficient inspection accuracy for regulatory compliance.
Solution Approach 2:
The system pre-identifies and prioritizes the critical diagnostic parameters that are most important for compliance inspections. By determining in advance which data points are essential, the system can efficiently transmit only those specific parameters, reducing overall data transmission requirements and energy usage while ensuring inspection accuracy for the most critical compliance aspects.
Data Source
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AI summary
Systems and methods for controlling an autonomous vehicle in response to vehicle instructions from a remote computing system are provided. In one example embodiment, a computer-implemented method includes controlling a first autonomous vehicle to provide a vehicle service, the first autonomous vehicle being associated with a first convoy that includes one or more second autonomous vehicles. The method includes receiving one or more communications from a remote computing system associated with a third-party entity, the one or more communications including one or more vehicle instructions. The method includes coordinating with the one or more second autonomous vehicles to determine one or more vehicle actions to perform in response to receiving the one or more vehicle instructions from the third-party entity. The method includes controlling the first autonomous vehicle to implement the one or more vehicle actions.