PATENT CLAIM ANALYSIS

Application Number: 15913364
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["701", "023000"]

Abstract:
A system and method of enabling or disabling vehicle features based on vehicle location, wherein the method includes: receiving a localized geographical vehicle feature map at the vehicle from a remote server, wherein the localized geographical vehicle feature map includes geographical vehicle feature map data, wherein the geographical vehicle feature map data includes geographical regions associated with vehicle feature data that indicates whether one or more vehicle features are enabled and/or disabled; monitoring vehicle location; based on the monitoring of the vehicle location, determining that the vehicle is located within or approaching a particular geographical region of the geographical regions included in the localized geographical vehicle feature map; determining at least one vehicle feature associated with the particular geographical region based on accessing the localized geographical vehicle feature map; and enabling and/or disabling the at least one vehicle feature based on information contained within the localized geographical vehicle feature map.

Claim (Index 4):
The method of  claim 3 , wherein the at least one vehicle feature concerns autonomous or semi-autonomous vehicle propulsion and/or steering.

Metadata:
- Claim Count in Document: 36.0
- Percentile: 90.0
- Lexical Diversity: 2.80702
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15812414', '14185391', '15840734', '15638565', '15857602']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4453542630848724
- 35 USC 102 Novelty (BERT): 0.5043067571513263
- Combined Prediction Score: 0.4512495124915179
- Mean Citation Score: 180.09134999999995
- Max Citation Score: 210.0986
- Similarity Product: 119.027408054924

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

Dataset: test