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 11):
The system of  claim 10 , wherein the one or more vehicular processors further execute vehicle functions to validate the current localized position prior to updating the seed position as the current localized position, such validation comprising functions to:\n (i) record the number of unique global feature points after each data association step until the number is above a threshold such that the seed position as the current localized position is validated.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 1.80723
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14751383', '14751375', '14488659', '15617423', '14488660']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4657910304299724
- 35 USC 102 Novelty (BERT): 0.6119747165966044
- Combined Prediction Score: 0.4804093990466356
- Mean Citation Score: 355.769502
- Max Citation Score: 573.19495
- Similarity Product: 518.9023308840691

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