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 17):
The calibration apparatus of  claim 16 , wherein when detecting the straight lines based on the edge components, the lane detection unit calculates gradients in a bird's-eye view generated from the around images, extracts the edge components based on the directions and magnitudes of the calculated gradients, and detects one or more straight line pairs, each of which includes a straight line for an edge component having a gradient in the increasing direction of pixel value and a straight line for an edge component having a gradient in the decreasing direction of pixel value, among the extracted edge components.

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): 0.6854938716204609
- 35 USC 102 Novelty (BERT): 0.4865358264450449
- Combined Prediction Score: 0.6655980671029194
- Mean Citation Score: 212.296054
- Max Citation Score: 225.16248
- Similarity Product: 173.76991632983209

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