PATENT CLAIM ANALYSIS

Application Number: 16059329
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["348", "148000"]

Abstract:
A method for determining if a first vehicle is being followed by a second vehicle, the method comprising: capturing image data from the first vehicle, of one or more vehicles in the vicinity of the first vehicle, over a time period; analysing the captured image data to identify one or more vehicles; and determining that the second vehicle is following the first vehicle, in dependence on the second vehicle appearing more than once amongst the one or more identified vehicles.

Claim (Index 18):
The controller of  claim 14 , comprising:\n a receiver configured to receive information associated with the second vehicle, the information enabling the second vehicle to be identified from the captured image data; and the controller being configured to determine if the second vehicle appears more than once among the one or more identified vehicles by using the received information to identify the second vehicle and wherein the receiver is configured to receive the information associated with the second vehicle from any of: a) a remotely located server in operative communication with the receiver; b) roadside infrastructure; and c) a third vehicle in operative communication with the first vehicle.

Metadata:
- Claim Count in Document: 43.0
- Percentile: 96.0
- Lexical Diversity: 1.87234
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16078489', '15112950', '16019883', '15634400', '11423683']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5978039673680547
- 35 USC 102 Novelty (BERT): 0.4637282168761434
- Combined Prediction Score: 0.5843963923188636
- Mean Citation Score: 156.353924
- Max Citation Score: 161.6854
- Similarity Product: 125.7873280338764

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