PATENT CLAIM ANALYSIS

Application Number: 15916839
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["701", "021000"]

Abstract:
A system of modular components can be used with existing sensor suites to fuse data and determine the operating environment (surface contacts/tracks) for an autonomous marine vehicle and feed an autonomy decision engine to improve the vessel arbitration process in deciding which way to turn, how fast to go, obstacle avoidance, and mission monitoring. The system includes the ability to obey the set of navigation rules published by the International Maritime Organization, generally referred to as COLREGS (collision regulations).

Claim (Index 4):
The process according to  claim 1 , wherein the MHT algorithm performs at least the following steps on each of the multiple sensor data sets, wherein the multiple sensor data sets contain maritime vessel contact data, including measurements data related thereto:\n grouping measurements data and maritime vessel contact data into independently computable clusters, wherein measurements data and maritime vessel contact data is grouped in a same computable cluster when the measurements data and maritime vessel contact data fall within a predetermined local area; generating one or more new local hypotheses based on any previously-known maritime vessel contact data and the measurements data, wherein each of the one or more new local hypotheses is an association between a single maritime vessel contact, a single measurement data or both a single maritime vessel contact and a single measurement data; selecting most likely local hypotheses sets from a list of all local hypotheses, including the one or more new local hypotheses, wherein each selected most likely set of local hypotheses is a new cluster hypothesis; generating a list of all cluster hypotheses, including the new cluster hypothesis; selecting the most likely cluster hypotheses sets from the list of all cluster hypotheses; generating a global hypothesis set from the selected most likely cluster hypotheses sets, wherein the generated global hypothesis set is formed from by the combinations of selecting one cluster hypothesis from each of the most likely cluster hypotheses sets, and further wherein each selected cluster hypothesis includes a hypothesis tree; reducing a number of branches of each hypothesis tree of the proposed global hypotheses by eliminating unlikely hypotheses of the hypothesis tree; predicting one or more maritime vessel contact positions; and selecting a most likely global hypothesis for a given time, wherein the most likely global hypothesis is indicative of one or more predicted tracks for each maritime vessel contact.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 90.0
- Lexical Diversity: 1.28986
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14968161', '15635106', '15007788', '13416069', '13523747']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.462262971953009
- 35 USC 102 Novelty (BERT): 0.6318653648886411
- Combined Prediction Score: 0.4792232112465722
- Mean Citation Score: 281.90619
- Max Citation Score: 659.5979
- Similarity Product: 536.9634926267505

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