PATENT CLAIM ANALYSIS

Application Number: 16277338
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-12
Patent Classification: ["382", "103000"]

Abstract:
This specification generally discloses technology for tracking vehicle positions in a warehouse environment. A system receives stereoscopic image data from a camera on a forklift, in some implementations. The system recognizes an object that is represented in the stereoscopic image data, identifies a representation of the recognized object in a spatial model that identifies, for each of a plurality of objects in an environment, a corresponding location of the object in the environment, determines the location of the recognized object in the environment, determines a relative position between the forklift and the recognized object, based on a portion of the received stereoscopic image data that represents the recognized object, and determines a location of the forklift in the environment, based on the determined location of the recognized object in the environment, and the determined relative position between the forklift and the recognized object.

Claim (Index 8):
The system of  claim 7 , wherein the stereoscopic image data is based on a series of stereoscopic images received in real time as the images are captured by the stereoscopic camera, each stereoscopic image being captured at a fixed time interval.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 99.0
- Lexical Diversity: 2.78571
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15993343', '15494227', '15222606', '16056919', '15629343']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3287698121117651
- 35 USC 102 Novelty (BERT): 0.522632942467256
- Combined Prediction Score: 0.3481561251473142
- Mean Citation Score: 183.162668
- Max Citation Score: 336.04425
- Similarity Product: 283.6801083387136

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

Dataset: test