Method and apparatus for detecting driver's abnormalities based on machine learning using vehicle can bus signal
AssigneesPenta Security Systems Inc., Autocrypt Co., Ltd.
InventorsSeok Woo Lee, Duk Soo Kim, Eui Seok Kim, Sang Gyoo Sim, Seung Young Park
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Abstract
Provided is a method for detecting a driver's abnormalities based on a CAN (Controller Area Network) bus network communicating with an ECU (Electronic Control Unit) of a vehicle. The method may include: acquiring a CAN bus signal related to an operation of the vehicle from the CAN bus network; extracting a detection vector from the CAN bus signal using an auto encoder; and detecting a driver's abnormality based on the detection vector.
Claims12
A method for detecting a driver's abnormalities based on a Controller Area Network (CAN) bus network communicating with an Electronic Control Unit (ECU) of a vehicle, the method comprising:
- acquiring, by the CAN bus signal extractor of the ECU, CAN bus signals related to an operation of the vehicle from the CAN bus network;
- extracting, by an auto encoder of the ECU, detection vectors from the CAN bus signals, the detection vectors including general vectors, supports vectors and anomaly vectors, wherein the detection vectors are extracted through an Mean Square Error (MSE) calculated for each of CAN bus signal vectors inputted to encoders of the auto encoder at a specific time and each of CAN bus signal vectors outputted from decoders of the auto encoder of an immediate previous time, and where a hyperplane is formed by connecting the support vectors;
- and
- detecting, by the ECU, a driver's abnormality based on anomaly scores indicated as distances on the hyperplane between the anomaly vectors and a determination boundary surface which includes support vectors selected by a one class-support vector machine (OC-SVM) learning among the detection vectors.
An apparatus for detecting a driver's abnormalities based on a Controller Area Network (CAN) bus network communicating with an Electronic Control Unit (ECU) of a vehicle, the apparatus comprising:
- a processor;
- and
- a memory configured to store one or more commands executed through the processor,
- wherein when the processor performs a function of a CAN bus signal extractor and a function of an auto encoder by the one or more commands,
- the CAN bus signal extractor acquires CAN bus signals related to an operation of the vehicle from the CAN bus network;
- the auto encoder extracts detection vectors from the CAN bus signals, the detection vectors including general vectors, supports vectors and anomaly vectors, wherein the detection vectors are extracted through an Mean Square Error (MSE) calculated for each of CAN bus signal vectors outputted from decoders of the auto encoder ata n immediate previous time, and where a hyperplane is formed by connecting the support vectors;
- and
- the processor detects a driver's abnormality based on anomaly scores indicated as distances on the hyperplane between the anomaly vectors and a determination boundary surface which includes support vectors selected by an one class-support vector machine (OC-SVM) learning among the detection vectors.
Dependencies are inferred from the claim text.