PATENT CLAIM ANALYSIS

Application Number: 16113515
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["345", "426000"]

Abstract:
Methods and systems for generating virtual sensor data for developing or testing computer vision detection algorithms are described. A system and a method may involve generating a virtual environment. The system and the method may also involve positioning a virtual sensor at a first location in the virtual environment. The system and the method may also involve recording data characterizing the virtual environment, the data corresponding to information generated by the virtual sensor sensing the virtual environment. The system and the method may further involves annotating the data with a depth map characterizing a spatial relationship between the virtual sensor and the virtual environment.

Claim (Index 13):
A sensor data generation system, comprising:\n one or more processors; and memory operably connected to the one or more processors, the memory storing a plurality of components executable by the one or more processors, the plurality of components comprising:\n a virtual environment programmed to include a plurality of virtual objects; \n a sensor model programmed to model a sensor in the virtual environment; \n a positioning module programmed to set a location and an orientation of the sensor in the virtual environment, wherein at least one of the virtual objects is a mobile virtual object, and wherein the sensor is on the mobile virtual object; and \n a simulation module programmed to utilize the virtual environment, the sensor model and the positioning module to produce simulation-generated data characterizing the virtual environment as perceived by the sensor as the mobile virtual object and the virtual sensor move around in the virtual environment to model an output of the sensor in a real-world scenario sensing an actual environment similar to or matching the virtual environment.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 2.15686
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15079540', '14885099', '12321329', '15148739', '14876024']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5868557968879243
- 35 USC 102 Novelty (BERT): 0.4829319794097693
- Combined Prediction Score: 0.5764634151401089
- Mean Citation Score: 161.40896999999995
- Max Citation Score: 250.60567000000003
- Similarity Product: 236.9137425260717

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test