Remote Autonomous Vehicle Status Detection From Third-Party Signals
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Solution Overview
Problem
Current systems lack the capability to effectively and efficiently manage the status of autonomous vehicles remotely, particularly in determining their operational status 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, and transmits control messages to the vehicle based on this information, utilizing machine-learned models for image and sensor data analysis to initiate control actions such as controlled stops or recovery plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If remote computing systems access and analyze third-party communications and sensor data to determine autonomous vehicle status, then the ability to remotely manage and respond to vehicle events is improved, but the system complexity and data processing requirements increase
Solution Approach 1:
The system segments the complex remote management task into distinct functional modules: a communication interface for accessing third-party data, a status determination component for analyzing vehicle status, and a control message transmission component for initiating actions. This modular segmentation reduces overall system complexity while maintaining comprehensive remote management capability.
Solution Approach 2:
The patent introduces a remote computing system as an intermediary between third-party communication sources and autonomous vehicle control systems. This intermediary processes and interprets third-party communications, determines vehicle status, and translates findings into appropriate control messages, thereby managing complexity through a dedicated mediating layer.
2Speed
If the system automatically determines vehicle status and initiates control actions based on third-party communications, then the response speed and safety are improved, but the automation level and decision-making complexity increase
Solution Approach 1:
The system performs preliminary status determination and control action formulation automatically based on pre-defined criteria and third-party communications. By automating the initial assessment and response formulation, the system achieves rapid response speeds while maintaining structured decision-making processes that can be reviewed or adjusted if needed.
Solution Approach 2:
The system implements a feedback loop where control messages are transmitted to the autonomous vehicle based on determined status, and the vehicle's responses and status changes are monitored. This feedback mechanism allows the automated system to adjust its decisions based on actual vehicle responses, improving both response effectiveness and safety while managing automation complexity through iterative learning.
3Measurement precision
If the computing system processes multiple data sources including third-party communications and sensor data, then the accuracy of status determination is improved, but the data processing time and computational resources increase
Solution Approach 1:
The system applies partial processing by focusing on specific critical data elements from third-party communications and sensor data that are most relevant to vehicle status determination. Rather than processing all available data equally, the system identifies and processes only the essential portions needed for accurate status assessment, thereby reducing processing time while maintaining determination accuracy.
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.