Virtual reality scene generator for generating training images for a pattern recognition classifier
First Claim
1. A method for generating training samples for a classification system associated with a vehicle occupant protection system, comprising:
- generating a three-dimensional virtual reality scene from a cockpit model having a set of at least two user configurable parameters, and an occupant model having a set of at least two user configurable parameters and a plurality of points of articulation; and
generating a plurality of samples from the virtual reality scene, each of the plurality of training samples having a first set of parameters associated with the cockpit model, a second set of parameters associated with the occupant model, and an occupant pose defined according to the points of articulation associated with the occupant model.
3 Assignments
0 Petitions
Accused Products
Abstract
Systems and methods are provided for generating training samples for a classification system associated with a vehicle occupant protection system. A three-dimensional virtual reality scene is generated (138) from a cockpit model having a set of at least two user configurable parameters (132) and an occupant model having a set of at least two user configurable parameters and a plurality of points of articulation (134). A plurality of training samples are generated from the virtual model (142). Each of the plurality of training samples has a first set of parameters associated with the cockpit model, a second set of parameters associated with the occupant model, and an occupant pose defined according to the points of articulation associated with the occupant model.
-
Citations
21 Claims
-
1. A method for generating training samples for a classification system associated with a vehicle occupant protection system, comprising:
-
generating a three-dimensional virtual reality scene from a cockpit model having a set of at least two user configurable parameters, and an occupant model having a set of at least two user configurable parameters and a plurality of points of articulation; and
generating a plurality of samples from the virtual reality scene, each of the plurality of training samples having a first set of parameters associated with the cockpit model, a second set of parameters associated with the occupant model, and an occupant pose defined according to the points of articulation associated with the occupant model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
-
-
10. A system for generating a plurality of samples, wherein the samples can be utilized as training and verification samples for a pattern recognition classifier, comprising:
-
a cockpit model, configurable according to a plurality of parameters, that simulates a vehicle interior in a three-dimensional space an occupant model, configurable according to a plurality of parameters, that simulates a vehicle occupant;
a virtual reality scene constructor that fuses the occupant model and the cockpit model to form a three-dimensional virtual reality scene; and
an image generator that generates an image of the three-dimensional virtual reality scene from a selected camera perspective. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
-
-
18. A computer program product, implemented on a computer readable medium and operative in a data processing system, for determining at least one characteristic of a vehicle occupant, comprising:
-
a component for generating a set of verification samples, having a known class membership, for the pattern recognition classifier, comprising;
a cockpit model, configurable according to a plurality of parameters, that simulates a vehicle interior in a three-dimensional space;
an occupant model, configurable according to a plurality of parameters, that simulates a vehicle occupant; and
a sample generator that generates a sample for the classifier from the cockpit model and the occupant model; and
a pattern recognition classifier operative to classify the set of verification samples, identify a set of at least one verification sample that was not properly classified from the set of verification samples, and incorporate the identified set of at least one verification sample into a set of training data associated with the classifier. - View Dependent Claims (19, 20, 21)
-
Specification