Geo-Converged Telemetry Aggregation for Real-Time Vehicle Awareness
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Solution Overview
Problem
Automated systems, such as smart vehicles, often lack access to comprehensive data beyond their immediate vicinity, limiting their ability to make informed decisions about surrounding conditions and events, and fail to share data with other vehicles, traffic control systems, or pedestrians, which can hinder safety and efficiency.
Innovation Solution
A geo-converged telemetry system that collects and processes data from various sources, including vehicles and traffic systems, associates geolocation with the data, and provides relevant information to consumers based on their location, enabling real-time or near-real-time decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If smart vehicles collect data only from their immediate area, then the data collection process remains simple and manageable, but the vehicle's decision-making capability is limited and cannot access comprehensive environmental information
Solution Approach 1:
The patent introduces a central server as an intermediary that aggregates telemetry data from multiple vehicles and environmental sensors. This mediator collects, processes, and distributes comprehensive environmental information to individual vehicles, allowing each vehicle to access wide-area data without directly managing complex collection infrastructure themselves.
Solution Approach 2:
The patent combines data from multiple sources including vehicle sensors, environmental sensors, and telemetry data from other vehicles into a unified comprehensive dataset. This merging of previously separate data streams creates a holistic environmental representation that individual vehicles can use for improved decision-making.
2Reliability
If vehicles share telemetry data with other vehicles and traffic control systems, then safety and efficiency improve, but the system complexity and data management requirements increase
Solution Approach 1:
The patent creates a universal telemetry data sharing platform that serves multiple functions: enabling vehicle-to-vehicle communication, providing data to traffic control systems, and supporting various safety and efficiency applications. This multi-functional system allows diverse users to benefit from a single standardized data exchange infrastructure.
Solution Approach 2:
The patent implements feedback mechanisms where shared telemetry data is used to improve real-time decision-making for vehicles and traffic control. The system continuously receives data, processes it, and provides actionable insights back to the vehicles and control systems, creating a closed-loop improvement cycle that enhances safety and efficiency over time.
3Loss of information
If the geo-converged telemetry system collects data from multiple transient sources, then the comprehensiveness of environmental data improves, but the difficulty of processing and correlating data increases
Solution Approach 1:
The patent segments the complex task of processing multi-source telemetry data by organizing it into distinct functional modules: data collection from various transient sources, geolocation association, data correlation, and analysis. This segmentation allows each module to handle specific aspects of the data pipeline independently, making the overall complex process more manageable and scalable.
Solution Approach 2:
The patent uses the central server as an intermediary that standardizes and normalizes data from multiple transient sources before processing. This mediator handles the complexity of correlating and integrating data from diverse origins, presenting a unified processed dataset to downstream applications and reducing the burden on individual vehicles to process raw multi-source data.
Data Source
AI summary
A geo-converged telemetry (GCT) system is described that provides an exchange of geographically-relevant telemetry data amongst various vehicles, devices, and systems for providing a holistic view of a geographic area. Telemetry data from various sources may be continually collected and transmitted to a nearby node of a GCT system, where the data may be converged based on geolocation and processed. The same and/or other vehicles, devices, and systems may operate as telemetry consumers that receive feeds of geo-converged telemetry data that may be tailored to functionalities of the consumer. As a vehicle moves, data that are determined to be geographically-relevant changes. The location of the processing may move from one processing node to another processing node in the edge network such that the processing is located proximate to the vehicle to minimize latency and provide real time or near-real time feedback based on a holistic view of the geographic area.