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 22):
The calibration apparatus of  claim 21 , wherein the parameter estimation unit converts the front/rear valid lanes into calibrated straight lines in the coordinate system of which lens distortion is calibrated, initially estimates the pitches and yaws of the front and rear cameras based on the relation between a vanishing point decided through the calibrated straight lines and a preset first reference vanishing point, reestimates the pitches and yaws of the front and rear cameras within a preset angle through the LM using the initially estimated pitches and yaws of the front and rear cameras as the initial values, and initially estimates the rolls of the front and rear cameras such that a difference between the widths of the left and right lanes included in the front/rear valid lanes in the bird's-eye view, calibrated according to the reestimated pitches and yaws of the front and rear cameras, is minimized.

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): 0.6832437092935252
- 35 USC 102 Novelty (BERT): 0.4974578189137019
- Combined Prediction Score: 0.6646651202555429
- Mean Citation Score: 212.296054
- Max Citation Score: 225.16248
- Similarity Product: 152.19307377395148

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