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 14):
A method for determining precise location information, comprising:\n receive image data from a vision system; using a first deep convolutional neural network, extract 2D or 3D points from each image in the image data; generate relative position and orientation changes from the received image data in relation to prior received image data; receive absolute position and orientation data from an absolute location determination system along with statistics or signal quality metrics the provide information about the quality of the wireless signals; using a second deep neural network, recognize patterns in the absolute position and orientation data to determine when the data should be trusted and used; and using a third deep neural network, combine the relative position/orientation of the camera(s) with the accurate absolute position/orientation data of the absolute position and orientation data to correct errors due to long term drift in the relative data and correct short term errors and anomalies in the absolute position and orientation data.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 96.0
- Lexical Diversity: 2.09722
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15183745', '15804289', '14177772', '14579874', '15678963']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4128000390351101
- 35 USC 102 Novelty (BERT): 0.518380391122467
- Combined Prediction Score: 0.4233580742438458
- Mean Citation Score: 185.755726
- Max Citation Score: 263.3431
- Similarity Product: 163.34243128755688

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