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US 2026/0285370 A1Published application
Path Selection
AssigneeNVIDIA Corporation
InventorsPhilip SHIRVANI, Richard BRAMLEY, John MONTRYM, Nirmal SAXENA
Life of this patent
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Abstract
An autonomous driving system could create or exacerbate a hazardous driving situation due to incorrect machine learning, algorithm design, sensor limitations, environmental conditions or other factors. This technology presents solutions that use machine learning to detect when the autonomous driving system is in this state e.g., erratic or reckless driving and other behavior, in order to take remedial action to prevent a hazard such as a collision.
Claims20
An autonomous or semi-autonomous machine comprising:
- one or more central processing units (CPUs);
- one or more graphics processing units (GPUs);
- one or more hardware accelerators;
- and
- a plurality of sensors with fields of view or sensory fields external to the autonomous or semi-autonomous machine;
- wherein the autonomous or semi-autonomous machine is to perform one or more control operations according to a selected plan, the plan selected using an arbitration component that arbitrates between outputs of two or more processing pipelines that individually process sensor data obtained using one or more sensors of the plurality of sensors.
3 more elements
A system comprising:
- one or more central processing units (CPUs);
- one or more graphics processing units (GPUs);
- one or more hardware accelerators;
- and
- a plurality of sensors with fields of view or sensory fields external to the autonomous or semi-autonomous machine;
- wherein system is to cause performance of one or more control operations of a machine according to a selected plan, the plan selected using an arbitration component that arbitrates between outputs of two or more processing pipelines that individually process sensor data obtained using one or more sensors of the plurality of sensors.
3 more elements
A machine comprising:
- one or more central processing units (CPUs);
- one or more graphics processing units (GPUs);
- one or more hardware accelerators;
- and
- a plurality of sensors with fields of view or sensory fields external to the autonomous or semi-autonomous machine;
- wherein the machine performs one or more control operations according to a selected plan, the plan selected using an arbitration component that arbitrates between outputs of two or more processing pipelines that individually process sensor data obtained using one or more sensors of the plurality of sensors.
3 more elements
Dependencies are inferred from the claim text.