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 18):
The method of  claim 17 , wherein extracting the acceleration of the ego-vehicle from the image data comprises:\n determining a first velocity of each object depicted in the first frame of the image data; determining a second velocity of each object depicted in the second frame of the image data, wherein the first and second velocity are defined in three dimensions relative to the ego-vehicle; calculating the acceleration of the ego-vehicle based on a comparison between the first velocity of each object and the second velocity of each object.

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): 0.0908978584960919
- 35 USC 102 Novelty (BERT): 0.4796597558375335
- Combined Prediction Score: 0.1297740482302361
- Mean Citation Score: 129.11223819999998
- Max Citation Score: 151.88869
- Similarity Product: 108.46700941229224

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