Driving action estimating device, driving support device, vehicle evaluating system, driver model creating device, and driving action determining device
First Claim
1. A driving action estimating device, comprising:
- a driver model for accelerator pedal operation and a driver model for brake pedal operation, each driver model being in the form of a Gaussian mixture model calculated by an EM algorithm, with time-series data of N types of characteristic amounts detected during travel of a vehicle as learning data, as a probability distribution of existence of the respective learning data in N dimensional spaces;
characteristic amount obtaining means for obtaining at least one or more characteristic amounts from the N types excluding a certain characteristic amount x;
maximum posterior probability calculating means for calculating a maximum posterior probability in the driver model for the obtained characteristic amount; and
output means for outputting an estimated value of the certain characteristic amount x for the obtained characteristic amount based on the calculated maximum posterior probability.
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Abstract
A driver model with higher precision is created as an evaluation standard for a driving condition in a normal condition. By detecting biometric information of a driver, whether a driver is in a usual condition or not is recognized. Then, data of driving conditions are collected while the driver is driving, and from the driving condition data, a part indicating that the driver operates in a usual condition is extracted to create a driver model. Further, the driver model is created taking only a case of driving in a normal condition as a driving action in normal times based on biometric information of the driver, and hence the driver model becomes more precise and neutral. Further, by using a GMM (Gaussian mixture model) for the driver model, a driver model for each driver can be created easily, and moreover, by calculation to maximize a conditional probability, a driving operation action is easily estimated and outputted.
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Citations
10 Claims
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1. A driving action estimating device, comprising:
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a driver model for accelerator pedal operation and a driver model for brake pedal operation, each driver model being in the form of a Gaussian mixture model calculated by an EM algorithm, with time-series data of N types of characteristic amounts detected during travel of a vehicle as learning data, as a probability distribution of existence of the respective learning data in N dimensional spaces; characteristic amount obtaining means for obtaining at least one or more characteristic amounts from the N types excluding a certain characteristic amount x; maximum posterior probability calculating means for calculating a maximum posterior probability in the driver model for the obtained characteristic amount; and output means for outputting an estimated value of the certain characteristic amount x for the obtained characteristic amount based on the calculated maximum posterior probability. - View Dependent Claims (2, 3, 4, 5)
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6. A driving support device, comprising:
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driver model obtaining means for obtaining a driver model for accelerator pedal operation and a driver model for brake pedal operation under normal conditions, each driver model being in the form of a Gaussian mixture model calculated by an EM algorithm, with time-series data of N types of characteristic amounts detected during travel of a vehicle as learning data, as a probability distribution of existence of the respective learning data in N dimensional spaces; driving operation estimating means for estimating a driving operation which is usually operated in a normal condition using the obtained driver model; driving action determining means for determining a driving action of a driver from the estimated driving operation and a driving operation based on current driving operation information; and driving support means for providing driving support according to the determined driving action. - View Dependent Claims (7, 8, 9)
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10. A driving action determining device, comprising:
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driver model obtaining means for obtaining a driver model for accelerator pedal operation and a driver model for brake pedal operation under normal conditions, each driver model being in the form of a Gaussian mixture model calculated by an EM algorithm, with time-series data of N types of characteristic amounts detected during travel of a vehicle as learning data, as a probability distribution of existence of the respective learning data in N dimensional spaces; driving operation estimating means for estimating, as driving operations, a brake pedal operation and an accelerator pedal operation, which operations are usually made under the normal conditions, using the obtained driver models; and driving action determining means for determining a brake pedal operation and an accelerator operation of a driver from the estimated driving operations and current driving operations based on current driving operation information.
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Specification