PATENT CLAIM ANALYSIS

Application Number: 16011013
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["705", "004000"]

Abstract:
A method for determining an adverse vehicle event, including: sampling sensor data an onboard vehicle system coupled to an ego-vehicle; at the onboard vehicle system, extracting a set of event parameters from the sensor data, wherein the vehicle event data is associated with a vehicle event occurring within the time interval; computing a loss probability based on the set of event parameters in response to the loss probability exceeding a threshold probability, transforming the set of event parameters into insurance claim data; and automatically transmitting the insurance claim data to an endpoint, wherein the endpoint is determined based on the participant identifier.

Claim (Index 7):
The method of  claim 1 , further comprising training a claims adjustment module based on vehicle event data extracted from interior image data and exterior image data sampled by one or more onboard vehicle systems of a population of ego-vehicles, and wherein transforming the set of event parameters and the fault status for each of the plurality of participant identifiers into insurance claim data is performed using the claim adjustment module.

Metadata:
- Claim Count in Document: 24.0
- Percentile: 94.0
- Lexical Diversity: 1.96491
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16011437', '16011269', '15403064', '15482541', '14313753']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0816559232985243
- 35 USC 102 Novelty (BERT): 0.4759220213566497
- Combined Prediction Score: 0.1210825331043369
- Mean Citation Score: 129.11223819999998
- Max Citation Score: 151.88869
- Similarity Product: 109.75300850994468

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

Dataset: test