PATENT CLAIM ANALYSIS

Application Number: 15964192
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["701", "028000"]

Abstract:
According to the embodiments described herein, a method for vehicle positioning or navigation utilizing associated feature pairs may include creating a plurality of associated feature pairs by retrieving an initial set of camera data from the camera comprising two-dimensional UV space information, forming pairs from the UV space information, and associating each pair from the UV space information with pairs from each of the plurality of three-dimensional global feature points of the industrial facility map, calculating a best estimate poses from calculated vehicle poses of the associated feature pairs, using an accumulated odometry to update the best estimate pose to a current localized position and setting a seed position as the current localized position. The navigation of the materials handling vehicle is tracked and/or navigated along the inventory transit surface navigate in at least a partially automated manner utilizing the current localized position.

Claim (Index 12):
The system of  claim 9 , wherein the one or more vehicular processors further execute vehicle functions to:\n (i) determine if the materials handling vehicle is lost; and (ii) if the materials handling vehicle is determined to be lost, retrieve a subsequent set of camera data from the camera and repeat functions (i)-(iv) of  claim 9  with the subsequent set of camera data from the camera in place of the set of camera data from the camera until the materials handling vehicle is found.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 1.80723
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14751383', '14751375', '14488659', '15617423', '14488660']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.503288605012086
- 35 USC 102 Novelty (BERT): 0.5948273740841409
- Combined Prediction Score: 0.5124424819192915
- Mean Citation Score: 355.769502
- Max Citation Score: 573.19495
- Similarity Product: 444.8105004660844

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

Dataset: test