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 19):
The method as set forth in  claim 14 , further including the steps of:\n communicating the image data to the server with the vehicle communication module using the vehicle processor; training the at least one particularized convolutional neural network using the image data from the camera using the server processor; and sending the at least one particularized convolutional neural network that is trained to the vehicle with the server communication module using the server processor.

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): 0.3110237451499401
- 35 USC 102 Novelty (BERT): 0.5026757224515385
- Combined Prediction Score: 0.3301889428801
- Mean Citation Score: 189.004626
- Max Citation Score: 195.34854
- Similarity Product: 125.32093143582344

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