PATENT CLAIM ANALYSIS

Application Number: 15864237
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["348", "148000"]

Abstract:
Calibration methods for calibrating image capture devices of an around view monitoring (AVM) system mounted on vehicle are provided, the calibration method including: extracting local patterns from images captured by each image capture device, wherein each local pattern is respectively disposed at a position within the image capturing range of one of the image capture devices; acquiring an overhead-view (OHV) image from OHV point above vehicle, wherein the OHV image includes first patterns relative to the local patterns for the image capture devices; generating global patterns from the OHV image using the first patterns, each global pattern corresponding to one of the local patterns; matching the local patterns with the corresponding global patterns to determine camera parameters and transformation information corresponding thereto for each image capture device; and calibrating each image capture device using determined camera parameters and transformation information corresponding thereto so as to generate AVM image.

Claim (Index 10):
The calibration method as claimed in  claim 8 , wherein the step of matching the local patterns with the corresponding global patterns to determine the camera parameters and the transformation information corresponding thereto for each image capture device further comprises:\n obtaining a three-dimensional (3D) rotation and translation information from the local patterns to the corresponding global patterns; and determining the camera parameters and the transformation information corresponding thereto for each image capture device according to the 3D rotation and translation information.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 86.0
- Lexical Diversity: 2.13158
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15025126', '15114547', '13055030', '15621861', '14031711']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6377517654130361
- 35 USC 102 Novelty (BERT): 0.4717366898348969
- Combined Prediction Score: 0.6211502578552223
- Mean Citation Score: 173.56871400000003
- Max Citation Score: 184.72845
- Similarity Product: 145.79442172381286

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