PATENT CLAIM ANALYSIS

Application Number: 16014485
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["701", "023000"]

Abstract:
A parking assist apparatus ( 13 ) has: a learning device ( 131 ) configured to perform a learning operation for learning, as a target parking position, a position in which a vehicle is parked when the vehicle is parked by a driver's operation; and an assisting device ( 132 ) configured to perform a parking assist operation for automatically parking the vehicle in the target parking position on the basis of a learning result of the learning device, if a predetermined condition that there is a predetermined difference between a position of an occupant during an assist period and a position of an occupant during a learning period is satisfied, the assisting device adjusts the target parking position on the basis of the difference so that it is easier to get out of the vehicle after the parking assist operation is finished, compared to a case where the predetermined condition is not satisfied.

Claim (Index 5):
The parking assist apparatus according to  claim 4 , wherein\n the controller is programmed to adjust the target parking position so that the adjusted target parking position is away from the non-adjusted target parking position toward a second direction that is a direction from the second seat to the first seat.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 94.0
- Lexical Diversity: 2.4697
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14849776', '15724340', '12442474', '15704060', '10408232']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4720429346907532
- 35 USC 102 Novelty (BERT): 0.4823790774511542
- Combined Prediction Score: 0.4730765489667933
- Mean Citation Score: 209.435116
- Max Citation Score: 220.33762
- Similarity Product: 167.86455713270664

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

Dataset: test