PATENT CLAIM ANALYSIS

Application Number: 16437772
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-09
Patent Classification: ["706", "011000"]

Abstract:
Methods, devices and apparatuses pertaining to aberrant driver classification and reporting are described. A method may involve receiving a message from a user of a first vehicle, the message indicating an instance of aberrant driving of a second vehicle. The method may also involve determining that the instance has occurred using one or more classifiers. The method may further involve collecting information of the second vehicle and generating a warning message based on the information.

Claim (Index 1):
An apparatus, comprising:\n one or more processors; and a memory to maintain a plurality of components executable by the one or more processors, the plurality of components comprising:\n a data collecting module configured to perform operations comprising:\n presenting one or more driving scenarios involving one or more aberrant driving behaviors to a user, and \n receiving, from the user, one or more responses to the one or more driving scenarios; \n \n a clustering module configured to cluster data associated with the one or more responses to generate one or more classifiers; and \n a transmission module configured to transmit the one or more classifiers to a vehicle.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 100.0
- Lexical Diversity: 1.62
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16437712', '16437656', '14842666', '14644584', '15007016']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3524456549270418
- 35 USC 102 Novelty (BERT): 0.4460131767553711
- Combined Prediction Score: 0.3618024071098747
- Mean Citation Score: 123.6701232
- Max Citation Score: 159.2114
- Similarity Product: 139.87116969176532

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