PATENT CLAIM ANALYSIS

Application Number: 16023529
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2020-01
Patent Classification: ["348", "148000"]

Abstract:
A method for object detection and parking spot localization includes receiving data corresponding to detected objects located within a street segment, the data being ascertained by an ascertaining vehicle driving through the street section, determining a detected object distribution, shifting the detected object distribution, and generating a parking map of available parking spots on the street segment based on a parking region distribution and the shifted detected object distribution. The method includes receiving the data, determining the detected object distribution, and shifting of the detected object distribution, for example each time at least one of the at least one ascertaining vehicle drives through the street section.

Claim (Index 19):
A non-transitory computer-readable medium on which are stored instructions that are executable by a computer processor and that, when executed by the processor, cause the processor to perform to perform a method for parking spot localization, the method comprising:\n receiving, from at least one ascertaining vehicle driving through a street segment, data from at least one sensor of the at least one ascertaining vehicle corresponding to detected objects in the street segment; determining, by the processing circuitry, a detected object distribution based on the received data; shifting, by the processing circuitry, the detected object distribution based on a parking region distribution and the detected object distribution; and generating, by the processing circuitry, a parking map of available parking spots on the street segment based on the parking region distribution and the shifted detected object distribution; wherein either or both of the following:\n (I) the parking region distribution is a histogram having (1) a bin width (W) and (2) a length (L) corresponding to a length of the street segment; and \n (II) the method further comprises the processing circuitry calculating, based on a score function, a score corresponding to the parking region distribution and the detected object distribution, the shift of the detected object distribution is based on a minimization of the calculated score, the method further comprises the processing circuitry calculating a regularized score corresponding to the parking region distribution and the detected object distribution, and the regularized score is calculated using a Ridge Regression model.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 94.0
- Lexical Diversity: 2.16981
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15400541', '14852089', '15652779', '15195430', '15135194']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6214157437120273
- 35 USC 102 Novelty (BERT): 0.4712391285793343
- Combined Prediction Score: 0.606398082198758
- Mean Citation Score: 194.826252
- Max Citation Score: 203.31598
- Similarity Product: 167.09711691080332

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

Dataset: test