PATENT CLAIM ANALYSIS

Application Number: 16011269
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["701", "028000"]

Abstract:
A method for digital environment reconstruction, including: capturing data using an onboard vehicle system; determining a vehicle event and an event type of the vehicle event; extracting a set of agent parameters from the data; generating a virtual model based on the set of agent parameters; and providing the virtual model to a remote system.

Claim (Index 9):
A method for digital environment reconstruction, comprising:\n capturing image data using a camera of an onboard vehicle system coupled to a vehicle, wherein the image data depicts an exterior environment of the vehicle; determining that a rare vehicle event is depicted by the image data, determining an event type of the rare vehicle event, and tagging the image data with the event type to generate tagged image data; extracting a set of agent parameters from the image data at a remote computing system, wherein the set of agent parameters defines: an agent identifier, an agent position, and an agent pose; wherein the agent identifier, the agent position, and the agent pose are extracted from the image data in parallel; wherein the agent identifier comprises personally identifying information (PII); deleting the PII from the set of agent parameters, thereby anonymizing the set of agent parameters, and subsequently combining the set of agent parameters into a datafile; receiving an event data request from a user system, wherein the event data request corresponds to the event type of the rare vehicle event; and providing the datafile to the user system in response to the event data request.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 1.63158
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11299129', '15673098', '16011013', '14749303', '15707648']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.417097386361679
- 35 USC 102 Novelty (BERT): 0.4559861131953355
- Combined Prediction Score: 0.4209862590450446
- Mean Citation Score: 114.4002564
- Max Citation Score: 130.6637
- Similarity Product: 99.06705868539812

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

Dataset: test