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US 2023/0398686 A1Published application
Predicting object models
AssigneeNVIDIA Corporation
InventorsFabio Tozeto Ramos, Animesh Garg, Krishna Murthy Jatavallabhula, Miles Macklin
Life of this patent
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Abstract
Apparatuses, systems, and techniques to update a machine learning model associated with an object. In at least one embodiment, the machine learning model is updated based at least in part on, for example, one or more distributions associated with the machine learning model.
Claims20
A system, comprising:
- at least one processor;
- and
- at least one memory comprising instructions that, in response to execution by the at least one processor, cause the system to at least:
- obtain a set of observed trajectories associated with an object in a scene;
- cause a machine learning model to calculate a first set of values associated with the object based, at least in part, on one or more distributions encoded by the machine learning model;
- cause the machine learning model to generate a set of trajectories based, at least in part, on the first set of values;
- calculate a second set of values based, at least in part, on the set of observed trajectories and the set of trajectories;
- and
- update the machine learning model based, at least in part, on the second set of values.
6 more elements
A method, comprising:
- obtaining one or more observed trajectories associated with an object;
- causing a machine learning model to calculate a set of values based on one or more distributions indicating probabilities of one or more properties associated with the object;
- causing the machine learning model to generate one or more trajectories based, at least in part, on the set of values;
- and
- updating the machine learning model based, at least in part, on the one or more observed trajectories and the one or more trajectories.
2 more elements
A non-transitory computer-readable medium comprising instructions that, when performed by at least one processor of a computing device, cause the computing device to at least:
- obtain a set of observed trajectories associated with an object and a robot;
- cause a machine learning model to generate a set of trajectories based, at least in part, on one or more distributions indicating probabilities of one or more properties associated with the object;
- process the set of observed trajectories and the set of trajectories to calculate one or more values;
- and
- update one or more parameters of the machine learning model based, at least in part, on the one or more values.
2 more elements
Dependencies are inferred from the claim text.