Motor control in an electric power steering
US-2024059348-A1 · Feb 22, 2024 · US
US10625776B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10625776-B2 |
| Application number | US-201414478423-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 5, 2014 |
| Priority date | Sep 9, 2013 |
| Publication date | Apr 21, 2020 |
| Grant date | Apr 21, 2020 |
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The invention relates to a driving assistant adapted for active control of a vehicle based on predictions of a behavior of a detected object. A method aspect of the invention comprises accepting a first prediction of a behavior associated with the detected object from a first prediction subsystem and a second prediction from a second prediction subsystem; determining a control signal based on a combination of the first prediction and the second prediction; and initiating active control of the vehicle based on the control signal.
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The invention claimed is: 1. A method for actively controlling a vehicle, the method comprising the following steps: accepting a first prediction of a behavior associated with a detected object from a first prediction subsystem of a driver assistance system of the vehicle to obtain a first prediction result; accepting a second prediction of said behavior from a second prediction subsystem of the driver assistance system in order to obtain a second prediction result of the same behavior associated with said detected object; combining the first prediction result and the second prediction result and assigning, during the combination, a weight to the first prediction subsystem and a weight to the second prediction subsystem, wherein the weights reflect a relative confidence or reliability of the first prediction subsystem and the second prediction subsystem relative to each other; determining a control signal for controlling the vehicle in response to the predicted behavior, wherein a strength of the control signal is controlled by the combination; and initiating, with respect to the predicted behavior, active control of the vehicle based on the control signal. 2. The method according to claim 1 , wherein the control signal indicates one value taken from a range of values associated with a particular operation of the vehicle. 3. The method according to claim 2 , wherein the control signal sets a maximum or minimum value of the range of values. 4. The method according to claim 1 , wherein in each of the first and second predictions, a probability value is assigned to the behavior, and the combination of the results of the first and second predictions comprises a combination of said probability values. 5. The method according to claim 1 , wherein the control signal indicates at least one of an acceleration or deceleration of the vehicle, and a steering angle of the vehicle. 6. The method according to claim 1 , wherein the first prediction subsystem is a context based prediction subsystem for predicting behavior based on indirect indicators observable before a start of a predicted behavior, and the second prediction subsystem is a physical prediction subsystem for predicting behavior based on direct indicators observable after a start of a predicted behavior. 7. The method according to claim 6 , wherein the context based prediction subsystem has associated therewith a lower weight than the physical prediction subsystem. 8. A non-transitory computer program product comprising program code portions for performing the method according to claim 1 when the computer program product is executed on a computing device. 9. A driver assistance system for actively controlling a vehicle, comprising: a component adapted to accept a first prediction of a behavior associated with a detected object from a first prediction subsystem to obtain a first prediction result; a component adapted to accept a second prediction of said behavior from a second prediction subsystem in order to obtain a second prediction result of the same behavior associated with said detected object; a component adapted to combine the first prediction result and the second prediction result and to assign, during the combination, a weight to the first prediction subsystem and a weight to the second prediction subsystem, wherein the weights reflect a relative confidence or reliability of the first prediction subsystem and the second prediction subsystem relative to each other; a component adapted to determine a control signal for controlling the vehicle in response to the predicted behavior, wherein a strength of the control signal is controlled by the combination; and a component adapted to initiate, with respect to the predicted behavior, active control of the vehicle based on the control signal. 10. The system according to claim 9 , wherein the driver assistance system comprises a cruise control module adapted to perform an active control of the vehicle in response to a lane-change of a detected object cutting-in to or cutting-out from a lane of the vehicle. 11. A vehicle comprising a system according to claim 9 .
Longitudinal speed · CPC title
Longitudinal acceleration · CPC title
Control of distance between vehicles, e.g. keeping a distance to preceding vehicle · CPC title
Steering angle of wheels · CPC title
Lane change; Overtaking manoeuvres · CPC title
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