PATENT CLAIM ANALYSIS

Application Number: 15982190
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["345", "633000"]

Abstract:
The disclosure includes a system, method, and tangible memory for generating a simulation. The method may include receiving real-world sensor stream data that describes a real-world data stream that is recorded by onboard sensors in one or more test vehicles, wherein the real-world sensor stream data describes real-world active agents and real-world environmental elements. The method may further include generating three-dimensional (3D) models of active agents and 3D models of environmental elements in a vehicle environment. The method may further include generating a simulation of the vehicle environment that synthesizes the real-world active agents with 3D models of active agents and synthesizes the real-world environmental elements with the 3D models of environmental elements.

Claim (Index 14):
The system of  claim 9 , wherein the memory stores additional instructions that, when executed by the one or more processors cause the one or more processors to perform operations comprising:\n providing initial conditions of the vehicle environment that includes the 3D models of active agents; and recording response data from a control system associated with an autonomous vehicle.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.39216
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15356337', '15074842', '15363368', '15713428', '15603086']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6013431000696637
- 35 USC 102 Novelty (BERT): 0.4950824307671416
- Combined Prediction Score: 0.5907170331394116
- Mean Citation Score: 206.894528
- Max Citation Score: 233.23058
- Similarity Product: 179.62620257302882

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

Dataset: test