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 20):
The method as set forth in  claim 11 , further including the steps of:\n inputting a rain input and a time of day input and a country identification input and a type of road input corresponding to a plurality of images from various countries and various weather and light conditions to a convolutional layer of a plurality of particularized convolutional neural networks; and training the plurality of particularized convolutional neural networks with the plurality of images and the rain input and the time of day input and the country identification input and the type of road input.

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): 0.3051010238773902
- 35 USC 102 Novelty (BERT): 0.5301044455249077
- Combined Prediction Score: 0.327601366042142
- Mean Citation Score: 189.004626
- Max Citation Score: 195.34854
- Similarity Product: 86.20741059546232

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