PATENT CLAIM ANALYSIS

Application Number: 16116886
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["701", "019000"]

Abstract:
A system, method, and apparatus are disclosed for a machine vision system that incorporates hardware and/or software, remote databases, and algorithms to map assets, evaluate railroad track conditions, and accurately determine the position of a moving vehicle on a railroad track. One benefit of the invention is the possibility of real-time processing of sensor data for guiding operation of the moving vehicle.

Claim (Index 10):
A method of updating asset information within a centralized map database implemented by one or more network-connected servers, the method comprising the steps of:\n receiving by the centralized map database a request for map data from a remote vehicle, the remote vehicle having: local environment sensors for procuring three-dimensional depth data descriptive of a local environment in the vicinity of the remote vehicle, and a local map cache; transmitting a first set of map data from the centralized map database to the remote vehicle in response to the request, the first set of map data comprising asset information, the asset information comprising identification, features and location of one or more assets within a local vicinity of the remote vehicle; receiving at the centralized map database, from the remote vehicle, a report indicative of one or more differences between the first set of map data and information derived from three-dimensional depth data detected by the remote vehicle's local environment sensors; and updating the centralized map database based on information within the report.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 1.48936
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14555501', '15790968', '15002380', '14947483', '13916943']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4831030213120525
- 35 USC 102 Novelty (BERT): 0.576851494048336
- Combined Prediction Score: 0.4924778685856809
- Mean Citation Score: 350.687062
- Max Citation Score: 510.3926
- Similarity Product: 418.7715389691115

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

Dataset: test