Composite confidence estimation for predictive driver assistant systems
First Claim
Patent Images
1. A method for a prediction subsystem in a driving assistance system of a vehicle, the method comprising the following steps:
- accepting a set of basic environment representations, wherein each basic environment representation represents at least one first entity detected by one or more sensors in an environment of the vehicle;
allocating a set of basic confidence estimates, wherein each basic confidence estimate of the set is associated to one of the set of basic environment representations, and each basic confidence estimate represents a combination of one or more detection confidences related to the associated basic environment representation;
associating at least one weight to one of the set of basic confidence estimates, wherein the weight is related to a composite environment representation based on the set of basic environment representations and the weight indicates an effect of a detection error in the basic environment representation, to which the basic confidence estimate is associated to, on a prediction for a second detected entity;
calculating a weighted composite confidence estimate for the composite environment representation based on a combination of the set of basic confidence estimates with the associated at least one weight; and
providing the weighted composite confidence estimate as input for an evaluation of the prediction based on the composite environment representation provided by the one or more sensors, wherein one or more of the basic environment representations and the composite environment representation comprise direct and/or indirect indicators and one or more of the basic confidence estimates and the composite confidence estimate comprise confidence indicators wherein direct and/or indirect indicators and the confidence indicators are based on a similar data structure; and
acting on the evaluation of the prediction to perform an active or passive control of a vehicle by the driving assistance system of the vehicle.
1 Assignment
0 Petitions
Accused Products
Abstract
The invention relates to a driving assistance system including a prediction subsystem in a vehicle. According to a method aspect of the invention, the method comprises the steps of accepting a set of basic environment representations; allocating a set of basic confidence estimates; associating weights to the basic confidence estimates; calculating a weighted composite confidence estimate for a composite environment representation; and providing the weighted composite confidence estimate as input for an evaluation of a prediction based on the composite environment representation.
-
Citations
15 Claims
-
1. A method for a prediction subsystem in a driving assistance system of a vehicle, the method comprising the following steps:
-
accepting a set of basic environment representations, wherein each basic environment representation represents at least one first entity detected by one or more sensors in an environment of the vehicle; allocating a set of basic confidence estimates, wherein each basic confidence estimate of the set is associated to one of the set of basic environment representations, and each basic confidence estimate represents a combination of one or more detection confidences related to the associated basic environment representation; associating at least one weight to one of the set of basic confidence estimates, wherein the weight is related to a composite environment representation based on the set of basic environment representations and the weight indicates an effect of a detection error in the basic environment representation, to which the basic confidence estimate is associated to, on a prediction for a second detected entity; calculating a weighted composite confidence estimate for the composite environment representation based on a combination of the set of basic confidence estimates with the associated at least one weight; and providing the weighted composite confidence estimate as input for an evaluation of the prediction based on the composite environment representation provided by the one or more sensors, wherein one or more of the basic environment representations and the composite environment representation comprise direct and/or indirect indicators and one or more of the basic confidence estimates and the composite confidence estimate comprise confidence indicators wherein direct and/or indirect indicators and the confidence indicators are based on a similar data structure; and acting on the evaluation of the prediction to perform an active or passive control of a vehicle by the driving assistance system of the vehicle. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
-
-
13. A driving assistance system for a vehicle, the driving assistance system including a prediction subsystem and comprising:
-
a component adapted to accept a set of basic environment representations, wherein each basic environment representation represents at least one first entity detected by one or more sensors in an environment of the vehicle; a component adapted to allocate a set of basic confidence estimates, wherein each basic confidence estimate of the set is associated to one of the set of basic environment representations, and each basic confidence estimate represents a combination of one or more detection confidences related to the associated basic environment representation; a component adapted to associate at least one weight to one of the basic confidence estimates, wherein the weight is related to a composite environment representation based on the set of basic environment representations and the weight indicates an effect of a detection error in the basic environment representation, to which the basic confidence estimate is associated to, on a prediction for a second detected entity; a component adapted to calculate a weighted composite confidence estimate for the composite environment representation based on a combination of the set of basic confidence estimates with the associated at least one weight; and a component adapted to provide the weighted composite confidence estimate as input for an evaluation of the prediction based on the composite environment representation provided by the one or more sensors, wherein one or more of the basic environment representations and the composite environment representation comprise direct and/or indirect indicators and one or more of the basic confidence estimates and the composite confidence estimate comprise confidence indicators wherein direct and/or indirect indicators and the confidence indicators are based on a similar data structure; and a component adapted to act on the evaluation of the prediction to perform an active or passive control of a vehicle by the driving assistance system of the vehicle. - View Dependent Claims (14, 15)
-
Specification