PATENT CLAIM ANALYSIS

Application Number: 16226142
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["382", "103000"]

Abstract:
According to one embodiment, a system includes a sensor component and a detection component. The sensor component is configured to obtain a first stream of sensor data and a second stream of sensor data, wherein each of the first stream and second stream comprise a plurality of sensor frames. The detection component is configured to generate a concatenated feature map based on a sensor frame of a first type and a sensor frame of a second type. The detection component is configured to detect one or more objects based on the concatenated feature map. One or more of generating and detecting comprises generating or detecting using a neural network with a recurrent connection that feeds information about features or objects from previous frames.

Claim (Index 20):
The non-transitory computer readable storage media of  claim 15 , wherein the neural network comprises an input layer, one or more hidden layers, and a classification layer, wherein the recurrent connection feeds an output of the classification layer from the previous frames into one or more of the input layer or a hidden layer of the one or more hidden layers during generating the feature map or detecting the one or more objects.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 2.2807
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15414383', '15443729', '15267621', '15661929', '15988658']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3517598432883441
- 35 USC 102 Novelty (BERT): 0.4894528677082036
- Combined Prediction Score: 0.3655291457303301
- Mean Citation Score: 175.30209999999997
- Max Citation Score: 251.06056
- Similarity Product: 212.4135339155102

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

Dataset: test