PATENT CLAIM ANALYSIS

Application Number: 16088814
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-04
Patent Classification: ["340", "932200"]

Abstract:
A parking lot entrance recognition method comprises the steps: reading GPS data of all vehicles appearing in a specified region within a specified time one-by-one; acquiring discontinuity points after it is confirmed that vehicle position information is lost; and comparing the discontinuity frequency of each discontinuity point with a frequency threshold to determine whether or not the discontinuity point is an entrance of an underground parking lot. In this way, the entrances of parking lots can be rapidly positioned, so that drivers can park conveniently and can also drive purposefully; and meanwhile, based on the analysis of the GPS data, the positioning accuracy is higher.

Claim (Index 4):
The parking lot entrance recognition method according to  claim 1 , wherein after the discontinuity points are acquired, whether or not each said discontinuity point has already been recorded in a discontinuity point list is judged; if yes, the discontinuity frequency F of the discontinuity point is added by 1; or if not, the discontinuity point is recorded into the discontinuity point list, and the discontinuity frequency F of the discontinuity point is set as 1.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 97.0
- Lexical Diversity: 1.51316
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13121934', '12282135', '12294407', '12294370', '10760279']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6503627758548142
- 35 USC 102 Novelty (BERT): 0.5153743728553446
- Combined Prediction Score: 0.6368639355548673
- Mean Citation Score: 182.185838
- Max Citation Score: 195.8653
- Similarity Product: 119.53996739311218

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