PATENT CLAIM ANALYSIS

Application Number: 15864355
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["382", "104000"]

Abstract:
A system and method for highly automated driving of a vehicle to detect and classify pedestrians and traffic signs and other vehicles are provided. The system includes an on-vehicle camera for receiving image data. A location determining module is also on the vehicle to determine a location of the vehicle and a vehicle memory unit on the vehicle storing at least one particularized convolutional neural networks to process the image data. A vehicle processor is communicatively coupled to the vehicle memory unit and the camera and the location determining module and is configured to collect vehicle location data with the location determining module. The vehicle processor is also configured to process the image data using the at least one particularized convolutional neural network based the vehicle location data and environmental conditions around the vehicle to detect and classify pedestrians and traffic signs and other vehicles.

Claim (Index 10):
The system as set forth in  claim 1 , wherein the at least one particularized convolutional neural network includes a plurality of layers including an input layer and a first convolutional layer coupled to the input layer and a first subsample layer coupled to the first convolutional layer and a second convolutional layer coupled to the first subsample layer and second subsample layer coupled to the second convolutional layer and a third convolutional layer coupled to the second subsample layer and a fully connected layer coupled to the a third convolutional layer and an output layer coupled to the fully connected layer and the third convolutional layer includes a rain input and a time of day input and a sunny input and a country identification input and a type of road input and a type of area input to use in the at least one particularized convolutional neural network.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 86.0
- Lexical Diversity: 2.45902
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15642816', '15709252', '15697821', '15194541', '15367993']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3118148587358296
- 35 USC 102 Novelty (BERT): 0.4990291486933981
- Combined Prediction Score: 0.3305362877315865
- Mean Citation Score: 189.004626
- Max Citation Score: 195.34854
- Similarity Product: 130.5141060142708

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