PATENT CLAIM ANALYSIS

Application Number: 15959167
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-04
Patent Classification: ["701", "023000"]

Abstract:
A system and method for instance-level lane detection for autonomous vehicle control are disclosed. A particular embodiment includes: receiving training image data from a training image data collection system; obtaining ground truth data corresponding to the training image data; performing a training phase to train a plurality of tasks associated with features of the training image data, the training phase including extracting roadway lane marking features from the training image data, causing the plurality of tasks to generate task-specific predictions based on the training image data, determining a bias between the task-specific prediction for each task and corresponding task-specific ground truth data, and adjusting parameters of each of the plurality of tasks to cause the bias to meet a pre-defined confidence level; receiving image data from an image data collection system associated with an autonomous vehicle; and performing an operational phase including extracting roadway lane marking features from the image data, causing the plurality of trained tasks to generate instance-level lane detection results, and providing the instance-level lane detection results to an autonomous vehicle subsystem of the autonomous vehicle.

Claim (Index 5):
The system of  claim 1  wherein the autonomous vehicle instance-level lane detection operation being further configured to receive a plurality of training images gathered from a plurality of perception devices by the training image data collection system.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 91.0
- Lexical Diversity: 2.70423
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15796769', '15917331', '15684791', '15683463', '15924249']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4757789588930019
- 35 USC 102 Novelty (BERT): 0.5010389129698664
- Combined Prediction Score: 0.4783049543006884
- Mean Citation Score: 243.586696
- Max Citation Score: 294.8589
- Similarity Product: 248.4681762012005

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