Learning device, inference device, and learning method

The learning device enhances radar object detection accuracy by processing delay profiles and noise profiles to differentiate direct and reflected waves, improving precision and range.

WO2026013936A1PCT designated stage Publication Date: 2026-01-15MITSUBISHI ELECTRIC CORP
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Patent Information

Application Number
PCT/JP2024/035874
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-07-11
Filing Date
2024-10-08
Publication Date
2026-01-15

AI Technical Summary

Technical Problem

Existing radar systems face challenges in improving the accuracy of object detection due to the influence of delayed waves, which complicates the differentiation between direct and reflected waves.

Method used

A learning device that includes an object information acquisition unit, a delay profile generation unit, a learning data generation unit, and a machine learning unit to process and generate trained models based on delay profiles and noise profiles, enhancing object detection accuracy by aligning and filtering signals.

Benefits of technology

The learning device improves object detection accuracy by accounting for delayed waves and noise, allowing for more precise object identification and extending detectable distances.

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Abstract

In the present invention, a learning device (100) comprises: an object information acquisition unit (120) that acquires object information relating to an object, said object information including object presence information indicating whether the object is present; a delay profile generation unit (113) that generates a delay profile on the basis of reception waves received by a reception antenna element when the reception antenna element receives waves produced by transmission waves transmitted from a transmission antenna element that have reflected off the object; a training data generation unit (130) that, on the basis of the object information acquired by the object information acquisition unit (120) and the delay profile generated by the delay profile generation unit (113), generates training data for generating a trained model; and a machine learning unit (140) that performs machine learning of the training data generated by the training data generation unit (130) and generates a trained model that outputs a detection result for a new object on the basis of the a delay profile input generated by the delay profile generation unit (113).
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Citation Information

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