PATENT CLAIM ANALYSIS

Application Number: 16023571
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2020-01
Patent Classification: ["348", "118000"]

Abstract:
This disclosure is directed to calibrating sensors mounted on an autonomous vehicle. First image data and second image data representing an environment can be captured by first and second cameras, respectively (and or a single camera at different points in time). Point pairs comprising a first point in the first image data and a second point in the second image data can be determined and projection errors associated with the points can be determined. A subset of point pairs can be determined, e.g., by excluding point pairs with the highest projection error. Calibration data associated with the subset of points can be determined and used to calibrate the cameras without the need for calibration infrastructure.

Claim (Index 2):
The system of  claim 1 , wherein the correction function is a first correction function, the system further comprising:\n at least one sensor disposed on the body and configured to generate point cloud data for portions of the environment in a field of view of one or more of the cameras, wherein the operations further comprise:\n comparing point cloud data captured at the first time to edges determined in at least one image of the set of images; and \n determining, based on the comparing, a second correction function representative of a misalignment of the cameras relative to the vehicle, and \n further wherein calibrating the plurality of cameras comprises calibrating the plurality of cameras based at least in part on the second correction function.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 94.0
- Lexical Diversity: 1.95312
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16023507', '15844995', '15855144', '15641113', '15891951']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6009508564615706
- 35 USC 102 Novelty (BERT): 0.5062754279830095
- Combined Prediction Score: 0.5914833136137145
- Mean Citation Score: 172.268038
- Max Citation Score: 284.13248
- Similarity Product: 211.38886283050536

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test