PATENT CLAIM ANALYSIS

Application Number: 15880009
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["382", "116000"]

Abstract:
A vehicle is configured to receive, from a passenger, a pickup request including an approximate location of the passenger, to scan for the passenger after arriving at the approximate location of the passenger, and to determine whether the passenger has been identified by comparing passenger attribute information to results of the scan, and to transmit an approximate location of the vehicle and vehicle identification information to the passenger when the passenger has not been identified or is not accessible for pickup. The passenger is picked up by the vehicle when the passenger has been identified and is accessible for pickup. In addition, the passenger may also use a portable electronic device to identify the vehicle based on the received approximate location of the vehicle and vehicle identification information.

Claim (Index 10):
The vehicle of  claim 1 , wherein the vehicle identification information comprises at least one of a three dimensional (3D) model of the vehicle, a bar code on an exterior of the vehicle, a license plate number of the vehicle, a color pattern on the exterior of the vehicle, or a light-emitting diode (LED) strip on the exterior of the vehicle.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.44643
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15263861', '15013017', '15826849', '15079591', '14958446']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3499508230966429
- 35 USC 102 Novelty (BERT): 0.4859627802308894
- Combined Prediction Score: 0.3635520188100675
- Mean Citation Score: 169.09349400000005
- Max Citation Score: 185.08586
- Similarity Product: 128.23120991557718

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