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 19):
The calibration apparatus of  claim 15 , wherein the valid lane extraction unit projects the positions of the detected lanes onto a reference axis on a bird's-eye view generated from the around images, generates a histogram by accumulating a predetermined number of frames or more, determines a lane as a misdetected lane, the lane being a preset distance or more away from a reference lane position decided according to the generated histogram, and removes the misdetected lane,\n wherein the valid lane extraction unit calculates installation angles of the cameras using a vanishing point estimated through the detected lanes, decides calibration lanes by calibrating angle errors of the detected lanes based on the calculated installation angles, decides a misdetected lane based on parallelisms between the decided calibrated lanes and the reference axis on the bird's-eye view, and removes the misdetected lane.

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): 0.6862500911640681
- 35 USC 102 Novelty (BERT): 0.4828580364341929
- Combined Prediction Score: 0.6659108856910806
- Mean Citation Score: 212.296054
- Max Citation Score: 225.16248
- Similarity Product: 181.040113464489

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