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 3):
The parking lot entrance recognition method according to  claim 1 , wherein after the GPS data of one said vehicle are read, whether or not the vehicle appears in the specified region is judged;\n if yes, whether or not the GPS data are continuous is judged; if not, data of the next vehicle are read; wherein, whether or not the GPS data are continuous is judged specifically by judging whether or not a discontinuity time between the GPS data is smaller than a threshold; if yes, the GPS data are determined as continuous, and next GPS data are read; or if not, the GPS data are determined as discontinuous, and a discontinuity point is acquired and recorded.

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): 0.6531665822503132
- 35 USC 102 Novelty (BERT): 0.5031580991645924
- Combined Prediction Score: 0.6381657339417411
- Mean Citation Score: 182.185838
- Max Citation Score: 195.8653
- Similarity Product: 137.04143964372872

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