PATENT CLAIM ANALYSIS

Application Number: 15751418
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["340", "995280"]

Abstract:
A method and a system for precision vehicle positioning based on a digital road description database containing fourth data sets with object-based information about at least one of a road object, a road furniture object and a geographic object is disclosed. First data sets based on the fourth data sets are forwarded to a vehicle. The vehicle is collecting ambient data like images along its path, generating second data sets comprising at least location information and detailed object-based information. During driving and after generating second data sets, the vehicle tries to identify in the second data sets the same driving-relevant objects and/or object reference points and/or groups of driving-relevant objects and/or object reference points as are contained in the first data sets. Furthermore, the vehicle aligns the same driving-relevant objects and/or object reference points and/or groups of driving-relevant objects and/or object reference points between the second data sets and the first data sets, and derives a position value for its own position.

Claim (Index 7):
The method according to  claim 6 , characterized in, that\n at least one group of objects comprises a road object and at least one of a road furniture object and a geographic object.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 88.0
- Lexical Diversity: 2.29333
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15081756', '13651659', '13603618', '12518755', '13503399']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7041689850362148
- 35 USC 102 Novelty (BERT): 0.4967498766527412
- Combined Prediction Score: 0.6834270741978675
- Mean Citation Score: 164.74737199999996
- Max Citation Score: 166.1568
- Similarity Product: 127.13047012481692

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