PATENT CLAIM ANALYSIS

Application Number: 16196535
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["340", "932200"]

Abstract:
A method performs an automated measurement of dimension(s) of an arriving vehicle arriving at a parking area. The method obtains a skills assessment of a driver of the arriving vehicle, which indicates skill level of the driver in performing parking maneuver(s). The method dynamically defines, based on the dimension(s) of the arriving vehicle and the obtained skills assessment, a parking space in an unoccupied area within the parking area. The defining includes selecting dimensions of the dynamically defined parking space. The method directs the arriving vehicle to the dynamically defined parking space, the directing including providing live parking guidance to facilitate maneuvering the arriving vehicle into position in the dynamically defined parking space.

Claim (Index 14):
The method of  claim 1 , further comprising:\n obtaining sensor data and video from vehicles driving through the parking area; analyzing the sensor data and video to ascertain location of one or more obstructions and unoccupied space in the parking area; and using the ascertained location of the one or more obstructions in the dynamically defining the parking space to identify a location for the dynamically defined parking space.

Metadata:
- Claim Count in Document: 48.0
- Percentile: 98.0
- Lexical Diversity: 2.29825
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15413467', '15720145', '15151559', '15991474', '15463852']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.665186568434991
- 35 USC 102 Novelty (BERT): 0.563555114505332
- Combined Prediction Score: 0.6550234230420251
- Mean Citation Score: 238.547448
- Max Citation Score: 422.9274
- Similarity Product: 387.95172659407854

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

Dataset: test