Autonomous Vehicle Convoy Control for Third-Party Command Coordination
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Solution Overview
Problem
Current systems for controlling autonomous vehicles lack efficient methods to receive and execute commands from third-party entities, particularly in managing fleets and coordinating vehicle actions across multiple autonomous vehicles in response to instructions from remote computing systems.
Innovation Solution
A computer-implemented method and system that enables autonomous vehicles to receive and execute commands from remote computing systems by using a Vehicle API platform for secure communication and coordination, allowing vehicles to determine and perform actions based on instructions from third-party entities, such as law enforcement or service providers, while maintaining fleet management and convoy operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous vehicles operate independently without centralized coordination, then vehicle autonomy and independence are maintained, but coordination efficiency and response to third-party commands deteriorate
Solution Approach 1:
The patent introduces a remote computing system as an intermediary that receives commands from third-party entities and distributes coordinated instructions to multiple autonomous vehicles. This mediator handles the complex coordination logic centrally, allowing individual vehicles to maintain autonomy while achieving fleet-wide coordination efficiency through the intermediary's command distribution and synchronization capabilities.
2Adaptability or versatility
If autonomous vehicles receive commands from multiple third-party entities, then service versatility and adaptability improve, but command conflict and control reliability deteriorate
Solution Approach 1:
The patent implements a feedback mechanism where the autonomous vehicle reports received commands and its current state back to the remote computing system. This feedback loop enables the central system to monitor command conflicts, prioritize instructions from different third-party entities, and resolve contradictions before execution, thereby maintaining high service versatility while ensuring command execution reliability through centralized arbitration.
3Speed
If real-time command processing is implemented across the fleet, then operational responsiveness improves, but computational load and system complexity increase
Solution Approach 1:
The patent segments the command processing function into two parts: the remote computing system handles high-level command reception, prioritization, and coordination logic, while individual autonomous vehicles execute specific motor control actions. This segmentation allows real-time responsiveness at the vehicle level while distributing computational complexity across the fleet, avoiding centralized bottlenecks and reducing the computational burden on any single system.
Data Source
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.