PATENT CLAIM ANALYSIS

Application Number: 15903293
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-10
Patent Classification: ["701", "001000"]

Abstract:
A vehicle drive assistance system is provided, which includes a general driver model learning engine configured to build a general driver model to be applied for a plurality of vehicle drivers based on driving data of the plurality of drivers, and an individual driver model learning engine configured to build an individual driver model particular to a specific vehicle driver based on the driving data of the specific driver received from a specific vehicle of the specific driver. The individual driver model learning engine includes a first synchronization engine configured to provide, to the general driver model learning engine, the driving data obtained by executing a first data conversion processing on the driving data of the specific driver.

Claim (Index 5):
The vehicle drive assistance system of  claim 4 , further comprising an on-board controller provided in the specific vehicle,\n wherein the on-board controller includes a second synchronization engine configured to transmit, to the individual driver model learning engine, the driving data obtained by executing a second data conversion processing on driving data acquired in the specific vehicle, the second data conversion processing including a second relevance conversion processing in which the relevance between the plurality of data pieces configuring the driving data acquired in the specific vehicle is changed.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 88.0
- Lexical Diversity: 2.6383
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15256373', '13130727', '12087130', '15461468', '15897868']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4134601471274802
- 35 USC 102 Novelty (BERT): 0.4827472726811815
- Combined Prediction Score: 0.4203888596828503
- Mean Citation Score: 157.871498
- Max Citation Score: 161.78476
- Similarity Product: 102.85498834188223

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

Dataset: test