PATENT CLAIM ANALYSIS

Application Number: 16108331
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["375", "130000"]

Abstract:
A location estimation system includes a plurality of Kalman filters, a UWB position system, a pressure sensor, a temperature sensor and a MEMs chip that provides gyroscope, accelerometer and magnetometer information. The data is Kalman filtered to determine precise location information that is more precise any sensor that is processed to determine the probable location of a device. The system further includes at least one camera based location determination systems is configured to provide either two dimensional or three-dimensional data wherein the system utilizes the absolute location information as well as the camera data to determine a precise location notwithstanding anomalies in the absolute location information. In one embodiment, the data from the location estimation system is fused with data from the camera based location determination system to generate data that, overall, is more accurate than data from either source.

Claim (Index 4):
The method of  claim 1  wherein the step of determining the precise location information includes the step of determining the precise location information by applying weights to at least one of the absolute location estimate and the relative position information.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 96.0
- Lexical Diversity: 2.09722
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15183745', '15804289', '14177772', '14579874', '15678963']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.441448168707222
- 35 USC 102 Novelty (BERT): 0.5227946741489177
- Combined Prediction Score: 0.4495828192513915
- Mean Citation Score: 185.755726
- Max Citation Score: 263.3431
- Similarity Product: 156.71131545267104

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

Dataset: test