PATENT CLAIM ANALYSIS

Application Number: 15870870
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["382", "103000"]

Abstract:
A method receives situation data including images from vehicles; clusters, into an image cluster, the images included in the situation data of vehicle(s) located in a geographic region from among the vehicles; locates related situation object(s) in image(s) of the image cluster; matches images from different vehicles in the image cluster, the matched images having corresponding feature(s) of the related situation object(s); determines three-dimensional (3D) sensor coordinates of the related situation object(s) relative to a sensor position of a target vehicle associated with at least one matched image, using the corresponding feature(s) of the related situation object(s) in the matched images; converts the 3D sensor coordinates of the related situation object(s) to geolocation coordinates of the related situation object(s) using geolocation data of the different vehicles associated with the matched images; and determines a coverage area of a traffic situation based on the geolocation coordinates of the related situation object(s).

Claim (Index 12):
The system of  claim 11 , wherein the matched images from the different vehicles are captured by images sensors having different sensor configurations.

Metadata:
- Claim Count in Document: 48.0
- Percentile: 86.0
- Lexical Diversity: 3.16129
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12901645', '15529942', '15081756', '13011036', '13181822']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3043093495247084
- 35 USC 102 Novelty (BERT): 0.4913995195877257
- Combined Prediction Score: 0.3230183665310101
- Mean Citation Score: 173.900792
- Max Citation Score: 186.35036
- Similarity Product: 131.9663898444175

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