PATENT CLAIM ANALYSIS

Application Number: 16044405
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["714", "020000"]

Abstract:
Disclosed embodiments relate to identifying Electronic Control Unit (ECU) anomalies in a vehicle. Operations may include monitoring data representing real-time processing activity of the ECU; receiving comparable data relating to processing activity of at least one other ECU deemed comparable in functionality to the ECU; comparing the real-time processing activity data with the comparable data, to identify at least one anomaly in the real-time processing activity of the ECU; and implementing a control action for the ECU when the at least one anomaly is identified.

Claim (Index 1):
A non-transitory computer readable medium including instructions that, when executed by at least one processor, cause the at least one processor to perform operations for identifying Electronic Control Unit (ECU) anomalies in a vehicle, comprising:\n monitoring data representing real-time processing activity of the ECU; receiving comparable data relating to processing activity of at least one other ECU deemed comparable in functionality to the ECU; comparing the real-time processing activity data with the comparable data, to identify at least one anomaly in the real-time processing activity of the ECU; and implementing a control action for the ECU when the at least one anomaly is identified.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 95.0
- Lexical Diversity: 1.86
- Patent Class: 714.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16044369', '16044454', '16044474', '16044002', '16044232']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.301785776462152
- 35 USC 102 Novelty (BERT): 0.5435291443821914
- Combined Prediction Score: 0.325960113254156
- Mean Citation Score: 333.951834
- Max Citation Score: 392.64178
- Similarity Product: 371.0472515996432

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