Invention Grant
- Patent Title: Prediction of accident risk based on anomaly detection
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Application No.: US16778757Application Date: 2020-01-31
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Publication No.: US11312374B2Publication Date: 2022-04-26
- Inventor: Kun Zhao , Takayuki Katsuki , Takayuki Yoshizumi
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Tutunjian & Bitetto, P.C.
- Agent Joseph Petrokaitis
- Main IPC: B60W30/095
- IPC: B60W30/095 ; G06F17/18 ; B60W50/14 ; G06V20/59

Abstract:
A computer-implemented method of predicting a risk of an accident is disclosed. The method includes computing an anomaly score based on sensor data to obtain a series of anomaly scores. The method also includes processing the anomaly score to limit a processed anomaly score below a predetermined value. The method further includes calculating an accident risk score at time of prediction by using a series of processed anomaly scores up to the time of the prediction. The method includes further outputting a prediction result based on the accident risk score.
Public/Granted literature
- US20210237724A1 PREDICTION OF ACCIDENT RISK BASED ON ANOMALY DETECTION Public/Granted day:2021-08-05
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