PATENT CLAIM ANALYSIS

Application Number: 15917331
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["701", "023000"]

Abstract:
A system and method for vehicle wheel detection is disclosed. A particular embodiment can be configured to: receive training image data from a training image data collection system; obtain ground truth data corresponding to the training image data; perform a training phase to train one or more classifiers for processing images of the training image data to detect vehicle wheel objects in the images of the training image data; receive operational image data from an image data collection system associated with an autonomous vehicle; and perform an operational phase including applying the trained one or more classifiers to extract vehicle wheel objects from the operational image data and produce vehicle wheel object data.

Claim (Index 9):
The method of  claim 8  wherein the training phase includes obtaining ground truth data from a manual image annotation or labeling process.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 90.0
- Lexical Diversity: 2.18182
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15796769', '15693446', '15684791', '15456219', '15456294']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4932435646221794
- 35 USC 102 Novelty (BERT): 0.4970155960548353
- Combined Prediction Score: 0.4936207677654449
- Mean Citation Score: 228.32818000000003
- Max Citation Score: 297.6805
- Similarity Product: 278.9163482663632

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