PATENT CLAIM ANALYSIS

Application Number: 16122683
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-09
Patent Classification: ["340", "932200"]

Abstract:
At least one embodiment of the present disclosure disclose a method, a device, and a system for parking space navigation. The method for parking space navigation includes: acquiring, by a processor, an entry position and identity information of a vehicle; determining, by the processor, a target parking space and planning a parking route for the vehicle according to current available parking space information of a parking lot and the entry position of the vehicle; and based on the identity information of the vehicle and the parking route, controlling, by the processor, a directing apparatus in the parking lot to guide the vehicle to enter the target parking space.

Claim (Index 15):
The parking space navigation device according to  claim 14 , wherein the instructions which, when executed by the processor, further cause the processor to:\n acquire the vacancy information of the parking lot according to a received image of each parking space in the parking lot which is captured in real time; or acquire the vacancy information of the parking lot according to a current status of each parking space which is monitored in real time by and received from a sensing apparatus in each parking space in the parking lot.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 97.0
- Lexical Diversity: 2.44
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15566758', '10457889', '11453811', '13898883', '14612242']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7171980383608438
- 35 USC 102 Novelty (BERT): 0.506006748577179
- Combined Prediction Score: 0.6960789093824774
- Mean Citation Score: 241.81522400000003
- Max Citation Score: 253.1968
- Similarity Product: 190.1868476242065

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

Dataset: test