PATENT CLAIM ANALYSIS

Application Number: 15923511
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["382", "158000"]

Abstract:
Systems and methods for estimating a layout of a room are disclosed. The room layout can comprise the location of a floor, one or more walls, and a ceiling. In one aspect, a neural network can analyze an image of a portion of a room to determine the room layout. The neural network can comprise a convolutional neural network having an encoder sub-network, a decoder sub-network, and a side sub-network. The neural network can determine a three-dimensional room layout using two-dimensional ordered keypoints associated with a room type. The room layout can be used in applications such as augmented or mixed reality, robotics, autonomous indoor navigation, etc.

Claim (Index 17):
The system of  claim 1 , wherein the hardware processor is programmed to:\n access object information from an object recognizer that analyzes the room image; and combine the object information with the predicted layout of the room.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 90.0
- Lexical Diversity: 1.95161
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15481564', '15812928', '15815686', '15426727', '15817161']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3363780843046801
- 35 USC 102 Novelty (BERT): 0.5087975232122007
- Combined Prediction Score: 0.3536200281954322
- Mean Citation Score: 219.875826
- Max Citation Score: 255.73299
- Similarity Product: 165.61480183967112

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