Position determination device
US-12154350-B2 · Nov 26, 2024 · US
US2024135726A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2024135726-A1 |
| Application number | US-202318375579-A |
| Country | US |
| Kind code | A1 |
| Filing date | Oct 1, 2023 |
| Priority date | Oct 18, 2022 |
| Publication date | Apr 25, 2024 |
| Grant date | — |
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An anomaly detection device includes a processor configured to extract a feature indicating the condition of a road surface by inputting an image representing surroundings of a vehicle into a feature extractor that has been trained to extract the feature, detect an abnormal condition in which the vehicle is unable to travel normally, when the feature is outside a normal range that is a tolerable range in which the vehicle is able to travel normally, and modify the normal range, based on the distribution of normal travel features each indicating the condition of a road surface and extracted from the respective images obtained while the vehicle travels normally.
Opening claim text (preview).
What is claimed is: 1 . An anomaly detection device comprising: a processor configured to: extract a feature indicating a condition of a road surface by inputting an image representing surroundings of a vehicle into a feature extractor that has been trained to extract the feature, detect an abnormal condition in which the vehicle is unable to travel normally, when the feature is outside a normal range that is a tolerable range in which the vehicle is able to travel normally, and modify the normal range, based on the distribution of normal travel features each indicating the condition of a road surface and extracted from the respective images obtained while the vehicle travels normally. 2 . The anomaly detection device according to claim 1 , further comprising a memory configured to store reference features each indicating the condition of a road surface and included in the normal range that is preset, wherein the processor modifies the normal range so as to approximate the distributions of the reference features and the normal travel features. 3 . An anomaly detection method, comprising: extracting a feature indicating a condition of a road surface by inputting an image representing surroundings of a vehicle into a feature extractor that has been trained to extract the feature; detecting an abnormal condition in which the vehicle is unable to travel normally, when the feature is outside a normal range that is a tolerable range in which the vehicle is able to travel normally; and modifying the normal range, based on the distribution of normal travel features each indicating the condition of a road surface and extracted from the respective images obtained while the vehicle travels normally. 4 . A non-transitory recording medium that stores a computer program for detecting anomalies, the computer program causing a processor mounted on a vehicle to execute a process comprising: extracting a feature indicating a condition of a road surface by inputting an image representing surroundings of the vehicle into a feature extractor that has been trained to extract the feature; detecting an abnormal condition in which the vehicle is unable to travel normally, when the feature is outside a normal range that is a tolerable range in which the vehicle is able to travel normally; and modifying the normal range, based on the distribution of normal travel features each indicating the condition of a road surface and extracted from the respective images obtained while the vehicle travels normally.
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