Remote Autonomous Vehicle Status Detection From Third-Party Signals
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Solution Overview
Problem
Current systems lack the ability to remotely and efficiently manage the status of autonomous vehicles, particularly in determining their operational conditions and responding with appropriate control actions based on third-party communications and sensor data.
Innovation Solution
A computing system that accesses third-party communications to determine a predetermined identifier and status of an autonomous vehicle, transmitting control messages to manage its operations, including using machine-learned models for image and sensor data analysis to initiate controlled stops or recovery plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If remote computing systems access and analyze third-party communications to determine autonomous vehicle status, then the ability to remotely manage and respond to vehicle conditions is improved, but the system complexity and data processing requirements increase
Solution Approach 1:
The patent introduces a remote computing system as an intermediary between autonomous vehicles and third-party communication sources. This mediator receives, processes, and analyzes communications from multiple sources (emergency services, traffic authorities, other vehicles) to determine vehicle status, thereby managing the complexity centrally rather than distributing it across individual vehicle systems.
Solution Approach 2:
The system implements feedback loops where third-party communications are continuously received, analyzed, and used to update the understanding of vehicle status. This feedback mechanism enables dynamic adjustment of control actions based on evolving information from external sources, improving reliability through continuous monitoring and response.
2Loss of time
If the system transmits control messages to autonomous vehicles based on third-party communications, then the response time for emergency situations is improved, but the precision of status determination must be maintained to avoid erroneous actions
Solution Approach 1:
The system performs preliminary analysis and validation of third-party communications before transmitting control messages. By pre-processing and verifying the accuracy of status determinations from multiple communication sources, the system ensures that control actions are based on precisely validated information, reducing the risk of erroneous actions while maintaining rapid response capability.
Solution Approach 2:
The system analyzes multiple communication sources and data types beyond what a single source would provide. By gathering excessive or redundant information from various third-party sources, the system can cross-validate status determinations and make more accurate decisions faster, trading some processing overhead for improved precision and confidence in status assessment.
3Measurement precision
If machine-learned models are used to analyze sensor data and third-party communications, then the accuracy of vehicle status determination is improved, but the computational resources and processing time required increase
Solution Approach 1:
The patent segments the computational workload by deploying machine-learned models in a distributed architecture. Complex analysis tasks are divided between the remote computing system (which handles heavy processing of third-party communications) and the autonomous vehicle's onboard systems (which process local sensor data). This segmentation allows accurate status determination while distributing energy consumption across multiple systems rather than concentrating it all in one location.
Data Source
AI summary
Systems and methods are provided for remotely detecting a status associated with an autonomous vehicle and generating control actions in response to such detections. In one example, a computing system can access a third-party communication associated with an autonomous vehicle. The computing system can determine, based at least in part on the third-party communication, a predetermined identifier associated with the autonomous vehicle. The computing system can determine, based at least in part on the third-party communication, a status associated with the autonomous vehicle, and transmit one or more control messages to the autonomous vehicle based at least in part on the predetermined identifier and the status associated with the autonomous vehicle.