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 5):
A method comprising:\n receiving first image data comprising a first image of an environment captured by a first camera disposed on a system, the first camera having a first field of view; receiving second image data comprising a second image of the environment captured by a second camera disposed on the system, the second camera having a second field of view at least partially overlapping the first field of view; determining a plurality of point pairs, each of the point pairs comprising a first point in the first image and a second point in the second image corresponding to the first point; determining projection errors for individual point pairs of the plurality of point pairs, the error comprising, at least in part, a distance between the first point and an epipolar line corresponding to the second point in the first image; determining, based at least in part on the projection errors, a subset of the plurality of point pairs; and determining, from the subset of the plurality of point pairs, a calibration function representative of an estimated relative pose of the first camera and the second camera.

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): 0.6036398397544032
- 35 USC 102 Novelty (BERT): 0.4907258794404588
- Combined Prediction Score: 0.5923484437230088
- Mean Citation Score: 172.268038
- Max Citation Score: 284.13248
- Similarity Product: 276.180581886406

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

Dataset: test