Methods and apparatus to simulate sensor data
AssigneeIntel Corporation
InventorsZhigang Wang, Xuesong Shi
Life of this patent
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Abstract
Methods, apparatus, systems, and articles of manufacture to simulate sensor data are disclosed. An example apparatus includes a noise characteristic identifier to extract a noise characteristic associated with a feature present in first sensor data obtained by a physical sensor. A feature identifier is to identify a feature present in second sensor data. The second sensor data is generated by an environment simulator simulating a virtual representation of the real sensor. A noise simulator is to synthesize noise-adjusted simulated sensor data based on the feature identified in the second sensor data and the noise characteristic associated with the feature present in the first sensor data.
Claims21
An apparatus for simulating sensor data, the apparatus comprising:
- at least one memory;
- machine readable instructions;
- and
- a processor to execute the machine readable instructions to:
- extract a noise characteristic associated with a feature present in first sensor data obtained by a physical sensor;
- identify a feature present in second sensor data, the second sensor data generated by an environment simulator simulating a virtual representation of the physical sensor;
- and
- synthesize noise-adjusted simulated sensor data based on a combination of:
- a first loss function based on noise characteristics of the noise-adjusted simulated sensor data and the feature present in the first sensor data;
- and
- a second loss function based on the noise-adjusted simulated sensor data and the feature identified in the second sensor data.
At least one non-transitory machine-readable storage medium comprising instructions which, when executed, cause a processor to at least:
- extract a noise characteristic associated with a feature present in first sensor data, the first sensor data captured by a physical sensor;
- identify a feature present in second sensor data, the second sensor data generated by an environment simulator simulating a virtual representation of the physical sensor;
- and
- synthesize noise-adjusted simulated sensor data based on a combination of:
- a first loss function based on noise characteristics of the noise-adjusted simulated sensor data and the feature present in first sensor data;
- and
- a second loss function based on the noise-adjusted simulated sensor data and the feature identified in the second sensor data.
A method for simulating sensor data, the method comprising:
- extracting, by executing an instruction with a processor, a noise characteristic associated with a feature present in first sensor data, the first sensor data captured by a physical sensor;
- identifying, by executing an instruction with the processor, a feature present in second sensor data, the second sensor data generated by an environment simulator simulating a virtual representation of the physical sensor;
- and
- synthesizing, by executing an instruction with the processor, noise-adjusted simulated sensor data based on a combination of:
- a first loss function representing noise characteristics of the noise-adjusted simulated sensor data and the feature present in the first sensor data;
- and
- a second loss function based on the noise-adjusted simulated sensor data and the features identifies in the second sensor data.
An apparatus for simulating sensor data, the apparatus comprising:
- means for extracting a noise characteristic associated with a feature present in first sensor data, the first sensor data captured by a physical sensor;
- means for identifying a feature present in second sensor data, the second sensor data generated by an environment simulator simulating a virtual representation of the physical sensor;
- and
- means for synthesizing noise-adjusted simulated sensor data based on a combination of:
- a first loss function based on noise characteristics associated with of the noise-adjusted simulated sensor data and the feature present in the first sensor data;
- and
- a second loss function based on the noise-adjusted simulated sensor data and the feature identified in the second sensor data.
Dependencies are inferred from the claim text.