PATENT CLAIM ANALYSIS

Application Number: 16322349
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-06
Patent Classification: ["348", "135000"]

Abstract:
A vision system ( 10 ) for a motor vehicle includes an imaging apparatus ( 11 ) adapted to capture images from a surrounding of the motor vehicle, and a processing device ( 14 ) adapted to execute an object detection code ( 15 ) to detect objects in the surrounding of the motor vehicle by processing images captured by the imaging apparatus ( 11 ), and to calculate for each detected object its longitudinal distance relative to the ego vehicle. The vision system includes a gatekeeper code module ( 33 ) having a higher functional safety level than the object detection code ( 15 ). The gatekeeper code module ( 33 ) takes as input objects ( 32 ) detected by the object detection code ( 15 ) and evaluates if a depth or disparity image ( 35 ), in at least a part of an area covering the detected object ( 32 ), matches within given tolerances the longitudinal distance of the detected object ( 32 ) given by the object detection code ( 15 ).

Claim (Index 4):
The vision system as claimed in  claim 3  further comprising the verified depth or the disparity image is obtained by a re-calculating depth or disparity data from the depth or disparity image calculator for a subset of the whole image, and to compare the re-calculated depth or disparity data with an original of the depth or disparity data.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 99.0
- Lexical Diversity: 2.4026
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['10964299', '12745416', '12901372', '10132875', '11954513']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5947227216831213
- 35 USC 102 Novelty (BERT): 0.472264472870149
- Combined Prediction Score: 0.5824768968018241
- Mean Citation Score: 147.587918
- Max Citation Score: 174.91433999999995
- Similarity Product: 131.42223088848348

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

Dataset: test