PATENT CLAIM ANALYSIS

Application Number: 16084512
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-04
Patent Classification: ["348", "699000"]

Abstract:
The invention relates to a method for motion estimation between two images of an environmental region ( 9 ) of a motor vehicle ( 1 ) captured by a camera ( 4 ) of the motor vehicle ( 1 ), wherein the following steps are performed: a) determining at least two image areas of a first image as at least two first blocks (B) in the first image, b) for each first block (B), defining a respective search region in a second image for searching the respective search region in the second image for a second block (B) corresponding to the respective first block (B); c) determining a cost surface ( 18 ) for each first blocks (B) and its respective search region; d) determining an averaged cost surface ( 19 ) for one of the at least two first blocks (B) based on the cost surfaces ( 18 ); d) identifying a motion vector (v) for the one of the first blocks (B) describing a motion of a location of the first block (B) in the first image and the corresponding second block (B) in the second image. The invention also relates to a computing device ( 3 ), a driver assistance system ( 2 ) as well as a motor vehicle ( 1 ).

Claim (Index 9):
The method according to  claim 8 , wherein for performing the extrinsic calibration, a height calibration of the camera is performed, wherein the height of the camera is determined in dependency on a length of the rotation-compensated motion vector and an expected value of the length of the rotation-compensated motion vector.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 97.0
- Lexical Diversity: 3.06098
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15521909', '15949586', '14863727', '13600742', '12687126']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5831457380775827
- 35 USC 102 Novelty (BERT): 0.5064637635352914
- Combined Prediction Score: 0.5754775406233537
- Mean Citation Score: 173.989814
- Max Citation Score: 224.75214
- Similarity Product: 150.2453066008079

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

Dataset: test