PATENT CLAIM ANALYSIS

Application Number: 16233232
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-06
Patent Classification: ["455", "456100"]

Abstract:
According to various aspects, a vehicle localization system is provided, including: a plurality of localization devices configured to receive vehicle position information representing a position of one or more vehicles located in a vicinity of the plurality of localization devices, the plurality of localization devices includes a first set of localization devices and a second set of localization devices, wherein the first set of localization devices is configured to receive additional position information representing a position of one or more localization devices of the second set of localization devices; and one or more processors configured to receive reference position information representing a positional relationship of the localization devices of the first set of localization devices relative to one another, determine a current position of each of the one or more vehicles based on the vehicle position information, the reference position information, and the additional position information.

Claim (Index 18):
The method of  claim 17 ,\n wherein the reference position information are determined at predefined times, and wherein the current position of each of the one or more objects is determined at predefined times.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 98.0
- Lexical Diversity: 3.18367
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14696588', '15591400', '15082205', '15785212', '14562324']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.704327425199291
- 35 USC 102 Novelty (BERT): 0.5136030499140367
- Combined Prediction Score: 0.6852549876707656
- Mean Citation Score: 189.402922
- Max Citation Score: 209.0733
- Similarity Product: 109.83533190686704

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