Measuring devices, terminal devices, methods, programs, and storage media

The system addresses the challenge of unreliable map updates by using proximity-based data transmission and confidence level analysis to accurately determine changes in features, ensuring reliable map updates.

JP2026086570APending Publication Date: 2026-05-26PIONEER IP
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Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
PIONEER IP
Filing Date
2026-02-05
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing map update systems struggle with accurately and reliably reflecting changes in map data, particularly in highly accurate maps for autonomous driving, due to unreliable detection of changes or incorrect updates.

Method used

A system comprising a measuring device and terminal device that measure and transmit position data of objects around a moving body, allowing for accurate determination of changes in features by analyzing difference information and selectively transmitting raw data based on confidence levels and proximity to ensure reliable map updates.

Benefits of technology

The system effectively suppresses unnecessary data transmission while accurately determining changes in features, ensuring reliable and efficient map updates by leveraging proximity-based data transmission and confidence level analysis.

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Abstract

To provide measuring devices and terminal devices that can reliably and accurately perform map updates. [Solution] The server device 4 stores an advanced map DB 43 containing feature information about features in the storage unit 42. The server device 4 then receives difference information Idf from multiple in-vehicle units 1A equipped with external sensors that measure features, indicating the difference between the feature information and the actual features corresponding to that feature information. The server device 4 also sends a raw data request signal SR to the in-vehicle unit 1B, requesting the transmission of raw data, which is the actual measurement data of the features, according to the confidence level calculated based on the multiple difference information Idf.
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