PATENT CLAIM ANALYSIS

Application Number: 16000634
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["701", "023000"]

Abstract:
A method for mitigating hazards to access to passenger vehicles. The method includes detecting, with one or more sensors, a hazardous condition in an area proximate a vehicle. A processor may calculate a safety metric corresponding to the hazardous condition and analyze the safety metric relative to a predetermined threshold. A vehicle occupant may be automatically notified of the hazardous condition in the event the safety metric satisfies the predetermined threshold. A corresponding system is also disclosed and claimed herein.

Claim (Index 12):
A system comprising:\n at least one processor; and at least one memory device coupled to the at least one processor and storing instructions for execution on the at least one processor, the instructions causing the at least one processor to:\n detect, via at least one sensor, a hazardous condition in a pedestrian travel path external to and proximate a stationary vehicle; \n calculate a safety metric corresponding to the hazardous condition; \n analyze the safety metric relative to a predetermined threshold; and \n notify a vehicle occupant of the hazardous condition in the event the safety metric satisfies the predetermined threshold.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 1.67308
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15407071', '13758638', '12857053', '12284040', '14983472']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.358910479109562
- 35 USC 102 Novelty (BERT): 0.4470018302938546
- Combined Prediction Score: 0.3677196142279912
- Mean Citation Score: 114.7014112
- Max Citation Score: 120.27376
- Similarity Product: 97.6534080739975

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

Dataset: test