PATENT CLAIM ANALYSIS

Application Number: 15883301
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-06
Patent Classification: ["382", "103000"]

Abstract:
The disclosure includes a method that receives a real-time image of a road from a camera sensor communicatively coupled to an onboard computer of a vehicle. The method includes dividing the real-time image into superpixels. The method includes merging the superpixels to form superpixel regions. The method includes generating prior maps from a dataset of road scene images. The method includes drawing a set of bounding boxes where each bounding box surrounds one of the superpixel regions. The method includes comparing the bounding boxes in the set of bounding boxes to a road prior map to identify a road region in the real-time image. The method includes pruning bounding boxes from the set of bounding boxes to reduce the set to remaining bounding boxes. The method may include using a categorization module that identifies the presence of a road scene object in the remaining bounding boxes.

Claim (Index 12):
The non-transitory computer-readable medium of  claim 8 , the steps further comprising:\n determining a type of classifier to apply to the candidate regions; applying the type of classifier to the candidate regions; and generating a list of object labels for the real-time image based on applying the type of classifier.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.52459
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14645936', '13967227', '14159658', '14108280', '15724215']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3230919503472412
- 35 USC 102 Novelty (BERT): 0.5619554580705484
- Combined Prediction Score: 0.3469783011195719
- Mean Citation Score: 252.503532
- Max Citation Score: 495.51025
- Similarity Product: 322.6929010946452

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