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 5):
The parking lot entrance recognition method according to  claim 1 , wherein the step of comparing the discontinuity frequency of each said discontinuity point with the frequency threshold to determine whether or not the discontinuity point is an entrance of an underground parking lot comprises the sub-steps:\n scanning and counting the discontinuity frequency of each said discontinuity point in a discontinuity point list; judging whether or not the discontinuity frequency is greater than the frequency threshold; and if yes, determining that the position of the discontinuity point is an entrance of an underground parking lot.

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): 0.6537946197268124
- 35 USC 102 Novelty (BERT): 0.5004143633263823
- Combined Prediction Score: 0.6384565940867695
- Mean Citation Score: 182.185838
- Max Citation Score: 195.8653
- Similarity Product: 140.97075494949218

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