Method for predicting the travel path of a motor vehicle and prediction apparatus
First Claim
1. A method for controlling a moving vehicle by numerical integration of a dynamic vehicle model using at least one rotational travel state, which is affected by angular motion of the moving vehicle, and at least one longitudinal travel state, which is affected by linear motion of the moving vehicle, the method comprising:
- generating, using at least one sensor of the moving vehicle, measured values corresponding to input variables of the at least one rotational travel state and the at least one longitudinal travel state;
determining time-related function rules for a predicted rotational travel state and/or for a predicted longitudinal travel state;
generating prediction values for a travel state concerned at specific points in time by numerical integration using said time-related function rule; and
facilitating control of the moving vehicle based on the prediction values,wherein the time-related function rule of a predicted travel state is determined by;
obtaining respective rotational or longitudinal input variables for at least two time-derivatives of the travel state concerned from the measured values, andrelating the input variables in linear dynamic models of order equal to the number of input variables of the travel state concerned using specified time constants, by determining from the linear model a time-related function rule for prediction values for the input variable concerned, and by analytically integrating the function rule for the prediction values of the input variable.
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Abstract
A method for predicting the expected travel path of a moving vehicle by numerical integration of a dynamic vehicle model using at least one rotational travel state and at least one longitudinal travel state is disclosed. To provide a prediction of the expected travel path, which does not depend on map information and provides the maximum possible accuracy even for non-steady-state travel states of a vehicle, time-related function rules for the rotational travel state φPre(t) and/or for the longitudinal travel state νPre(t) are determined, and values for the travel state concerned φPre, νPre are predicted at specific points in time by integration using said function rule φPre(t), νPre(t). In this process, the time-related function rule of the travel state concerned is determined by obtaining respective (rotational or longitudinal) input variables for at least two time-derivatives of the travel state concerned from measured values.
28 Citations
8 Claims
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1. A method for controlling a moving vehicle by numerical integration of a dynamic vehicle model using at least one rotational travel state, which is affected by angular motion of the moving vehicle, and at least one longitudinal travel state, which is affected by linear motion of the moving vehicle, the method comprising:
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generating, using at least one sensor of the moving vehicle, measured values corresponding to input variables of the at least one rotational travel state and the at least one longitudinal travel state; determining time-related function rules for a predicted rotational travel state and/or for a predicted longitudinal travel state; generating prediction values for a travel state concerned at specific points in time by numerical integration using said time-related function rule; and facilitating control of the moving vehicle based on the prediction values, wherein the time-related function rule of a predicted travel state is determined by; obtaining respective rotational or longitudinal input variables for at least two time-derivatives of the travel state concerned from the measured values, and relating the input variables in linear dynamic models of order equal to the number of input variables of the travel state concerned using specified time constants, by determining from the linear model a time-related function rule for prediction values for the input variable concerned, and by analytically integrating the function rule for the prediction values of the input variable. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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Specification