Vehicle Surrounding Data Collection With Accuracy Threshold Filtering
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Solution Overview
Problem
The high communications traffic and costs associated with collecting surrounding information for dynamic map creation and updates, particularly in congested areas, due to the inclusion of low-accuracy data that has limited contribution to map updates.
Innovation Solution
A surrounding information collection system that requests vehicles to transmit data only if the accuracy meets a threshold, calculated based on stored information, thereby reducing unnecessary data collection and network congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If surrounding information is collected from all vehicles without accuracy filtering, then the quantity of surrounding information increases, but communications traffic and costs increase significantly
Solution Approach 1:
The system changes the parameter of data selection by introducing an accuracy threshold. The server calculates threshold accuracy values based on stored surrounding information and only requests data from vehicles that meet or exceed this threshold, thereby filtering out low-quality data and reducing unnecessary communications traffic.
Solution Approach 2:
Vehicles autonomously determine whether their surrounding information meets the accuracy threshold before transmission. The vehicle's surrounding information acquisition apparatus compares its data accuracy against the threshold and self-selects whether to transmit, eliminating the need for the server to process and reject low-quality data.
2Quantity of substance
If surrounding information with low accuracy is collected, then the quantity of data increases, but the contribution to dynamic map accuracy decreases
Solution Approach 1:
The system introduces an accuracy threshold parameter that dynamically filters surrounding information based on quality rather than quantity. By setting and enforcing this threshold, the system ensures that only high-accuracy data contributes to dynamic map creation, directly improving measurement precision while preventing data overload.
Solution Approach 2:
The system extracts and transmits only the high-value portion of surrounding information that meets the accuracy threshold. Low-accuracy data is excluded from transmission entirely, allowing the system to focus computational and communication resources on data that actually improves dynamic map accuracy.
3Loss of time
If all vehicles transmit surrounding information continuously, then the freshness of dynamic map improves, but communications network congestion increases
Solution Approach 1:
Instead of continuous transmission, the system implements periodic data collection triggered by server requests. The server periodically calculates accuracy thresholds and requests data only when needed, creating a rhythm of transmission that maintains map freshness while preventing network congestion from constant data flow.
Solution Approach 2:
The system applies partial action by requesting surrounding information only from vehicles whose data meets the accuracy threshold, rather than from all vehicles. This selective approach provides sufficient data freshness for map updates without the excessive communications load of universal transmission.
Data Source
AI summary
A surrounding information collection system requests a vehicle to transmit surrounding information, and stores the surrounding information transmitted from the vehicle in response to the request. The surrounding information collection system requests a vehicle to transmit surrounding information, the vehicle acquiring the surrounding information having accuracy greater than a threshold calculated based on accuracy of the stored surrounding information.