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 1):
A process for identifying and tracking maritime vessel contacts by an autonomous maritime vehicle for use in autonomous navigation of the autonomous vehicle comprising:\n receiving multiple sensor data sets from multiple sensors associated with the autonomous maritime vehicle and fusing the sensor data by the data fusion architecture to determine a state of the current operating environment of the autonomous maritime vehicle, wherein a state of the current operating environment includes identification of one or more maritime vessel contacts and one or more tracks thereof within the operating environment by application of a Multi-Hypothesis Tracking (MHT) algorithm to the multiple sensor data sets; and processing results of the application of the MHT algorithm to the fused sensor data from the data fusion architecture including assessment of an operational state of one or more sensed maritime vessel contacts, computation of maritime vessel contact density within the current operating environment and generation of one or more collision alerts and using the processed results to navigate the autonomous maritime vehicle, wherein navigation includes directing the autonomous vehicle to perform one or more of the following actions turn, change speed, and avoid an obstacle.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 90.0
- Lexical Diversity: 1.28986
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14968161', '15635106', '15007788', '13416069', '13523747']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4283238229030069
- 35 USC 102 Novelty (BERT): 0.6413986635106058
- Combined Prediction Score: 0.4496313069637668
- Mean Citation Score: 281.90619
- Max Citation Score: 659.5979
- Similarity Product: 574.1512511697052

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