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 11):
A system comprising:\n one or more processors; one or more memories storing instructions that, when executed by the one or more processors, cause the system to:\n receive situation data including images from vehicles; \n cluster, into an image cluster, the images included in the situation data of one or more vehicles located in a geographic region from among the vehicles; \n locate one or more related situation objects in one or more images of the image cluster; \n match images from different vehicles in the image cluster, the matched images having one or more corresponding features of the one or more related situation objects; \n determine three-dimensional (3D) sensor coordinates of the one or more related situation objects relative to a sensor position of a target vehicle associated with at least one of the matched images, using the one or more corresponding features of the one or more related situation objects in the matched images; \n convert the 3D sensor coordinates of the one or more related situation objects to geolocation coordinates of the one or more related situation objects using geolocation data of the different vehicles associated with the matched images; and \n determine a coverage area of a traffic situation based on the geolocation coordinates of the one or more related situation objects.

Metadata:
- Claim Count in Document: 48.0
- Percentile: 86.0
- Lexical Diversity: 3.16129
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12901645', '15529942', '15081756', '13011036', '13181822']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2785548457097959
- 35 USC 102 Novelty (BERT): 0.494852046947892
- Combined Prediction Score: 0.3001845658336055
- Mean Citation Score: 173.900792
- Max Citation Score: 186.35036
- Similarity Product: 124.53235356304646

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