Method, electronic device, and computer program product for road monitoring
US-2024346829-A1 · Oct 17, 2024 · US
US2026087821A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2026087821-A1 |
| Application number | US-202519321508-A |
| Country | US |
| Kind code | A1 |
| Filing date | Sep 8, 2025 |
| Priority date | Sep 25, 2024 |
| Publication date | Mar 26, 2026 |
| Grant date | — |
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A monitoring device according to the present disclosure includes a division unit for dividing a three-dimensional space indicating point cloud data into at least one divided space, an observation unit for observing a feature amount of first point cloud data included in the divided space in a reference period and observing a feature amount of second point cloud data included in the divided space in an observation period, and a determination unit for determining, as an abnormal state, a first divided space in which a time during which a difference between the feature amount of the second point cloud data and the feature amount of the first point cloud data exceeds a first threshold value is longer than a second threshold value, in which the first divided space is included in the at least one divided space.
Opening claim text (preview).
1 . A monitoring device comprising: at least one memory storing instructions; and at least one processor configured to execute the instructions to: divide a three-dimensional space indicating point cloud data into at least one divided space; observe a feature amount of first point cloud data included in the divided space in a reference period and observing a feature amount of second point cloud data included in the divided space in an observation period; and determine, as an abnormal state, a first divided space in which a time during which a difference between the feature amount of the second point cloud data and the feature amount of the first point cloud data exceeds a first threshold value is longer than a second threshold value, wherein the first divided space is included in the at least one divided space. 2 . The monitoring device according to claim 1 , wherein the feature amount is a value related to number of points included in the divided space. 3 . The monitoring device according to claim 2 , wherein the first threshold value is a value indicating a predetermined statistical spread of the number of points included in the divided space with respect to an elapse of time in the reference period; and the at least one processor of the first base station is further configured to execute the instructions to determine, as an abnormal state, the first divided space in which a time during which the number of points exceeds a value indicating the predetermined statistical spread is longer than the second threshold value in the observation period. 4 . The monitoring device according to claim 1 , wherein the feature amount is a value related to brightness indicated by a point included in the divided space. 5 . The monitoring device according to claim 4 , wherein the first threshold value is a value indicating a predetermined statistical spread of the brightness of the points included in the divided space with respect to an elapse of time in the reference period; and the at least one processor of the first base station is further configured to execute the instructions to determine, as an abnormal state, the first divided space in which a time during which the brightness of the points exceeds a value indicating the predetermined statistical spread is longer than the second threshold value in the observation period. 6 . The monitoring device according to claim 1 , wherein the feature amount is a direction of a normal vector of a point included in the divided space. 7 . The monitoring device according to claim 6 , wherein the first threshold value is a value indicating a predetermined statistical spread of an angle having, as a reference, a predetermined direction of a normal vector of a point included in the divided space with respect to an elapse of time in the reference period; and the at least one processor of the first base station is further configured to execute the instructions to determine, as an abnormal state, the first divided space in which a time during which a value indicating an angle of a point with respect to the predetermined direction in the observation period exceeds a value indicating the predetermined statistical spread is longer than the second threshold value. 8 . The monitoring device according to claim 1 , wherein a size of the divided space changes according to a distance from the observation point. 9 . A monitoring method comprising: dividing a three-dimensional space indicating point cloud data into at least one divided space; observing a feature amount of first point cloud data included in the divided space in a reference period; observing a feature amount of second point cloud data included in the divided space in an observation period; and determining, as an abnormal state, a first divided space in which a time during which a difference between the feature amount of the second point cloud data and the feature amount of the first point cloud data exceeds a first threshold value is longer than a second threshold value, the first divided space being included in the at least one divided space. 10 . A non-transitory computer-readable medium storing a program for causing a computer to execute: dividing a three-dimensional space indicating point cloud data into at least one divided space; observing a feature amount of first point cloud data included in the divided space in a reference period; observing a feature amount of second point cloud data included in the divided space in an observation period; and determining, as an abnormal state, a first divided space in which a time during which a difference between the feature amount of the second point cloud data and the feature amount of the first point cloud data exceeds a first threshold value is longer than a second threshold value, the first divided space being included in the at least one divided space.
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