PATENT CLAIM ANALYSIS

Application Number: 16009131
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["348", "046000"]

Abstract:
LK-SURF, Robust Kalman Filter, HAR-SLAM, and Landmark Promotion SLAM methods are disclosed. LK-SURF is an image processing technique that combines Lucas-Kanade feature tracking with Speeded-Up Robust Features to perform spatial and temporal tracking using stereo images to produce 3D features can be tracked and identified. The Robust Kalman Filter is an extension of the Kalman Filter algorithm that improves the ability to remove erroneous observations using Principal Component Analysis and the X84 outlier rejection rule. Hierarchical Active Ripple SLAM is a new SLAM architecture that breaks the traditional state space of SLAM into a chain of smaller state spaces, allowing multiple tracked objects, multiple sensors, and multiple updates to occur in linear time with linear storage with respect to the number of tracked objects, landmarks, and estimated object locations. In Landmark Promotion SLAM, only reliable mapped landmarks are promoted through various layers of SLAM to generate larger maps.

Claim (Index 19):
The method of  claim 17 , wherein matching the landmarks comprises limiting the number of compared landmarks based on covariances of the landmarks.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 94.0
- Lexical Diversity: 1.63636
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['10739581', '10739937', '15014934', '13244221', '10739935']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6992931928749178
- 35 USC 102 Novelty (BERT): 0.5219378888448694
- Combined Prediction Score: 0.6815576624719129
- Mean Citation Score: 324.4190460000001
- Max Citation Score: 334.9297
- Similarity Product: 245.2086046392501

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test