Event-Based Vehicle Sensor Aggregation for Claim Verification
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Solution Overview
Problem
Existing systems fail to effectively leverage sensing data from various devices in automotive vehicles for global operations or external event responses, relying on unverifiable operator claims and narratives, which can lead to inefficiencies in claim verification and management.
Innovation Solution
An event-based data aggregation system that receives notifications from sensing devices, determines relevant devices based on location and event type, and polls them for data to aggregate and corroborate event information, facilitating more accurate claim evaluation and resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If sensing devices are used for local sensing operations only, then device complexity is reduced, but loss of information occurs as sensing data cannot be leveraged for global operations or event verification
Solution Approach 1:
The system segments sensing devices into event-sensing devices that detect specific events and additional sensing devices that provide supplementary data. This segmentation allows each device type to be optimized for its specific function while collectively providing comprehensive event verification capability without requiring all devices to be universally complex
Solution Approach 2:
An event-based data aggregation service acts as an intermediary between sensing devices and claim evaluation systems. This intermediary receives event notifications, polls relevant sensing devices for data, aggregates the information, and provides it for verification, thereby enabling sensing data utilization without requiring direct integration of each device with all system components
2Reliability
If operator claims and narratives are used for claim verification, then ease of operation is maintained, but reliability deteriorates due to unverifiable information
Solution Approach 1:
The system implements feedback by polling sensing devices to obtain actual sensing data that verifies or refutes operator claims and narratives. This feedback mechanism provides objective evidence that enhances claim verification reliability while maintaining operational simplicity through automated data collection and aggregation
Solution Approach 2:
Sensing devices automatically detect events and provide verification data without requiring manual intervention. The event-based data aggregation service automatically polls relevant devices and aggregates data, enabling the system to self-verify claims without increasing operational complexity for users
3Measurement precision
If all sensing devices are polled for every event notification, then measurement precision is improved, but productivity decreases due to excessive data collection
Solution Approach 1:
The system applies local quality by determining relevance of each sensing device to the specific event type and location. Instead of uniformly polling all devices, the system selectively polls only those devices whose sensing data is locally relevant to the specific event, thereby maintaining measurement precision while improving productivity through reduced data collection
Data Source
AI summary
The present disclosure relates generally to aggregation of data associated with events related to automotive vehicles. Automotive vehicles may include a variety of sensing devices used in local sensing operations. However, these sensing devices may not be leveraged beyond the local sensing operations. When automotive vehicles are operated, sometimes events occur. As discussed herein, an event-based data aggregation service may aggregate sensing data from one or more sensing devices, such as sensing devices of the automotive vehicles, in response to receiving an event notification associated with one or more of the events and may use the sensing data when responding to the event notification.