PATENT CLAIM ANALYSIS

Application Number: 16008933
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["348", "148000"]

Abstract:
A calibration method may include: detecting, by a lane detection unit, lanes from around images acquired through cameras of a vehicle, when a behavior of the vehicle satisfies a preset behavior condition; analyzing, by a valid lane extraction unit, statistical characteristics of the positions and directions of the detected lanes, and extracting a valid lane by removing a misdetected lane; and estimating, by a parameter estimation unit, installation angles of the cameras based on the direction of the valid lane and a vanishing point decided through the valid lane.

Claim (Index 18):
The calibration apparatus of  claim 17 , wherein the lane detection unit determines that the lane fit is satisfied, when one or more of a crossing condition that two straight lines included in the straight line pair do not cross each other, a lane thickness condition that the minimum distance and maximum distance between the two straight lines included in the straight line pair fall within a preset lane thickness change range, and an overlap ratio condition that the overlap ratio of the two straight lines included in the straight line pair when the two straight lines are projected onto a reference axis on the bird's-eye view is equal to or more than a preset ratio are satisfied.

Metadata:
- Claim Count in Document: 71.0
- Percentile: 94.0
- Lexical Diversity: 1.90566
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12146897', '14561063', '14113412', '14251042', '13859656']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6846858378874323
- 35 USC 102 Novelty (BERT): 0.4904618563792758
- Combined Prediction Score: 0.6652634397366167
- Mean Citation Score: 212.296054
- Max Citation Score: 225.16248
- Similarity Product: 166.0120501423502

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test