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 2):
The parking lot entrance recognition method according to  claim 1 , wherein the step of reading the GPS data of all the vehicles appearing in the specified region within the specified time one-by-one specifically comprises the sub-steps:\n selecting the specified region defined by specific longitude and latitude; acquiring vehicle terminal numbers appearing within the specified time and classifying the vehicles according to the terminal numbers; and reading the GPS data of all the vehicles within the specified time one-by-one in time sequence; wherein, the GPS data include vehicle terminal number, longitude and latitude value, vehicle type, vehicle speed, driving direction and driving state.

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): 0.6553196625298253
- 35 USC 102 Novelty (BERT): 0.4937423163570736
- Combined Prediction Score: 0.6391619279125502
- Mean Citation Score: 182.185838
- Max Citation Score: 195.8653
- Similarity Product: 150.52606132531758

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