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 1):
A vehicle localization apparatus comprising:\n a GPS receiver mounted to a vehicle, the GPS receiver providing a first geographical position of the vehicle; a local map cache residing within the vehicle, the local map cache storing a local map of assets comprising, for each asset: a location of the asset, properties associated with the asset, and one or more relationships relative to other assets; one or more local environment sensors mounted on the vehicle to enable collection of three-dimensional depth data comprising, for observed assets present in a local environment in the vicinity of the vehicle: position data of the observed assets relative to the vehicle, and properties associated with the observed assets; one or more vehicle computers, the vehicle computers receiving the first geographical position from the GPS receiver to retrieve, from the local map cache, records associated with assets previously mapped in the vicinity of the first geographical position; a feature extraction component implemented by the vehicle computers, the feature extraction component receiving the local environment sensor three-dimensional depth data to identify and locate observed assets presently within the vicinity of the vehicle; and a position refinement component implemented by the vehicle computers, the position refinement component comparing the identity and location of observed assets derived from three-dimensional depth data by the feature extraction component, with asset information retrieved from the local map cache, to determine a second position of the vehicle that is refined relative to the first geographical position of the vehicle.

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): 0.4807402988658462
- 35 USC 102 Novelty (BERT): 0.582395895440654
- Combined Prediction Score: 0.4909058585233269
- Mean Citation Score: 350.687062
- Max Citation Score: 510.3926
- Similarity Product: 445.7590558593511

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