Vehicular Sensor Data Routing to MEC for Event Detection
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Solution Overview
Problem
Autonomous vehicles and mobile devices are inefficient in utilizing resources for capturing and storing audio/video data, as these resources are primarily dedicated to real-time vehicle operations, leaving potential for sub-optimal utilization in supporting additional services like event detection.
Innovation Solution
Implementing an event detection service using vehicular devices equipped with sensors that capture and transmit data to Multi-access Edge Computing (MEC) devices for analysis, enabling the identification of events such as persons, animals, or objects of interest, and communicating results to relevant networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicular devices use sensors primarily for real-time vehicle operations, then vehicle operational reliability is improved, but resource utilization for additional services like event detection deteriorates
Solution Approach 1:
The patent enables vehicular sensors to serve dual purposes: real-time vehicle operations and event detection services. The same sensors capture data for both navigation/safety and surveillance/event detection, allowing one resource to fulfill multiple functions without requiring dedicated hardware for each application
Solution Approach 2:
The MEC device acts as an intermediary that receives sensor data from vehicular devices and performs event detection analysis. This mediator enables the vehicle's sensors to support event detection services without interfering with the vehicle's primary operational reliability, as the MEC device processes the data independently
2Adaptability or versatility
If sensors capture and store audio/video data for multiple applications, then service versatility is improved, but device complexity and resource management deteriorates
Solution Approach 1:
The patent extracts the event detection processing function from the vehicular device and relocates it to the MEC device. The vehicle's sensors continue to capture data for multiple applications, but the complex analysis and event detection logic are performed externally at the edge computing platform, reducing the vehicular device's complexity while maintaining service versatility
3Measurement precision
If vehicular devices transmit all captured data to MEC devices, then event detection accuracy is improved, but network bandwidth consumption and latency worsen
Solution Approach 1:
The patent implements partial data transmission where only selected sensor data relevant to event detection is transmitted to the MEC device, rather than all captured audio/video data. This selective transmission approach maintains event detection accuracy for targeted events while significantly reducing overall network bandwidth consumption and transmission latency
Data Source
AI summary
A method, a device, and a non-transitory storage medium are described in which an event detection service is provided. A network device of a Multi-access Edge Computing network receives sensed data from vehicular devices and metadata. The network device is pre-configured with criteria information to detect events including events pertaining to public safety. The network device also can be remotely triggered to detect customized events. The network device may trigger vehicular devices to capture sensed data. The network device may receive and analyze the sensed data and the metadata, and determine whether the customized event is detected.