Vehicle Sensor Abnormality Detection Using Time-Stamped Data Comparison
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Solution Overview
Problem
Existing systems require a processing step to exclude moving objects before comparing environment information, making it difficult to quickly detect sensor abnormalities.
Innovation Solution
An information processing apparatus and method that acquires and compares sensing data from multiple sources, including vehicle-mounted sensors and road-side units, using time stamps to identify sensor abnormalities by analyzing three-dimensional object position and road surface tilt information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If moving object exclusion processing is performed before comparing environment information, then measurement precision is improved, but productivity deteriorates due to additional processing steps
Solution Approach 1:
The patent extracts and removes moving objects from the comparison process by identifying objects present in both current and past images, then excluding them from abnormality detection calculations. This allows the system to focus comparison efforts only on static objects, improving both precision and efficiency.
Solution Approach 2:
The system performs preliminary actions by acquiring and storing past environment information in advance, and pre-identifying moving objects before the actual abnormality detection comparison. This preparation work enables faster real-time detection without compromising accuracy.
2Measurement precision
If moving object exclusion processing is performed, then measurement precision is improved, but loss of time increases due to additional processing steps
Solution Approach 1:
The patent extracts and removes moving objects from the comparison process by identifying objects present in both current and past images, then excluding them from abnormality detection calculations. This allows the system to focus comparison efforts only on static objects, improving both precision and efficiency.
Solution Approach 2:
The system performs preliminary actions by acquiring and storing past environment information in advance, and pre-identifying moving objects before the actual abnormality detection comparison. This preparation work enables faster real-time detection without compromising accuracy.
Data Source
AI summary
There is provided an information processing apparatus, an information processing method, and a program, with which an abnormality of a sensor mounted on a vehicle can be detected. The information processing apparatus includes a first data acquisition unit, a second data acquisition unit, a comparison unit, and a detection unit. The first data acquisition unit acquires first data generated by using sensing data of a sensor mounted on a vehicle. The second data acquisition unit acquires second data generated by using sensing data of a sensor other than that of the vehicle. The comparison unit compares the first data with the second data on the basis of the time stamp included in each of the first data and the second data. The detection unit detects an abnormality related to a sensor mounted on the vehicle on the basis of a comparison result by the comparison unit.


