PATENT CLAIM ANALYSIS

Application Number: 16096445
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-05
Patent Classification: ["701", "041000"]

Abstract:
A parking assist method includes acquiring recognition information on parked vehicles existing in a parking lot; extracting two or more vehicles parked side by side from the recognition information and grouping the two or more vehicles into a set of vehicles; and when a space into which parking is possible exists between the parked vehicles included in the grouped set of vehicles, estimating the space as an available parking space. The disclosure further includes setting a pathway direction reference line extending along a pathway of the parking lot; calculating reference distances between the pathway direction reference line and the parked vehicles included in the above recognition information; and extracting the two or more vehicles from the above recognition information and grouping the two or more vehicles into the set of vehicles on the basis of the calculated reference distances.

Claim (Index 5):
The parking assist method according to  claim 4 , wherein when the space in which a length in a longitudinal direction of the parked vehicles is larger than a length of one vehicle exists between the parked vehicles included in the set of vehicles, the space is estimated as the available parking space.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 97.0
- Lexical Diversity: 2.47458
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16061762', '15769292', '14827740', '12741940', '15769576']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4816654915204906
- 35 USC 102 Novelty (BERT): 0.4891409256416787
- Combined Prediction Score: 0.4824130349326095
- Mean Citation Score: 206.737376
- Max Citation Score: 242.8225
- Similarity Product: 185.84108476087448

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

Dataset: test