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 2):
The method of  claim 1 , further comprising generating a first feature map based on the depth map extracted from the sensor and generating a second feature map based on the image, wherein generating the feature map comprises generating based on high-level features in the first feature map or the second feature map.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 2.2807
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15414383', '15443729', '15267621', '15661929', '15988658']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3243136183863569
- 35 USC 102 Novelty (BERT): 0.4915001985775987
- Combined Prediction Score: 0.341032276405481
- Mean Citation Score: 175.30209999999997
- Max Citation Score: 251.06056
- Similarity Product: 200.79234954914088

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