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 6):
The method according to  claim 5 , wherein the number of first blocks within the sliding window is preset such that one first block is completely surrounded by further first blocks within the sliding window, wherein the motion vector is determined for the first block in the middle surrounded by the further first blocks.

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): 0.5840435374878368
- 35 USC 102 Novelty (BERT): 0.5025933342323103
- Combined Prediction Score: 0.5758985171622842
- Mean Citation Score: 173.989814
- Max Citation Score: 224.75214
- Similarity Product: 157.85458973825453

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