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 4):
The method of  claim 1 , wherein calculating the loss probability based on the peak acceleration and the peak attitudinal shift comprises calculating the loss probability using an adverse vehicle event model, wherein the adverse vehicle event model is trained based on a corpus of event parameters extracted from a population of ego-vehicles and corresponding insurance claim data associated with the population of ego-vehicles.

Metadata:
- Claim Count in Document: 24.0
- Percentile: 94.0
- Lexical Diversity: 1.96491
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16011437', '16011269', '15403064', '15482541', '14313753']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0903252171142006
- 35 USC 102 Novelty (BERT): 0.4861573813803984
- Combined Prediction Score: 0.1299084335408204
- Mean Citation Score: 129.11223819999998
- Max Citation Score: 151.88869
- Similarity Product: 102.68654993481636

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