PATENT CLAIM ANALYSIS

Application Number: 16103628
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-03
Patent Classification: ["340", "971000"]

Abstract:
A method of operating an augmented reality processed terrain and obstacle threat scouting service is provided. The method includes using at least one sensor of a monitoring vehicle to monitor terrain and obstacle data. The monitored terrain and obstacle data is compared with terrain and obstacle data in a terrain and obstacle database. A non-validated georeferenced delta is determined when the comparison of the monitored terrain and obstacle data with terrain and obstacle data in the terrain and obstacle database finds non-matching terrain and obstacle data. The non-validated georeferenced delta is transmitted to a ground distribution center, consumer vehicle and/or cloud based server. Non-validated georeferenced delta received at a consumer vehicle is differentiated from other terrain and obstacle data on a synthetic vision display. Non-validated georeferenced delta received at a ground distribution center is validated against at least one other source and validated and non-validated is distributed to subscribing consumers.

Claim (Index 35):
A terrain and obstacle threat scouting and reporting system comprising:\n at least one first vehicle including,\n at least one sensor to monitor terrain and obstacle data; \n at least one vehicle database; \n at least one processor to compare monitored terrain and obstacle data with stored terrain and obstacle data in the at least one vehicle database and generate a non-validated geographical delta when the monitored terrain and obstacle data and the stored terrain and obstacle data do not match; and \n a vehicle communication system configured to transmit the generated non-validated geographical delta; \n at least one second vehicle including,\n a synthetic vision system configured and arranged to display received non-validated geographical delta, the non-validated geographical delta being differentially identified from other terrain and obstacle data displayed by the synthetic vision system.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 96.0
- Lexical Diversity: 2.28986
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15691581', '12183693', '11336519', '13701287', '14609651']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6197234318180863
- 35 USC 102 Novelty (BERT): 0.6272782610008839
- Combined Prediction Score: 0.6204789147363661
- Mean Citation Score: 272.00538199999994
- Max Citation Score: 572.3594400000002
- Similarity Product: 501.34350154881486

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