PATENT CLAIM ANALYSIS

Application Number: 16277424
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-08
Patent Classification: ["701", "436000"]

Abstract:
An augmented reality visualization framework for precision traffic analysis combines traffic data with content representative of physical-world characteristics, such as conditions in an intersection or roadway in which traffic activity occurs, and images of the intersection and roadway itself. The framework includes a visualization platform that enables display of the combined traffic data and content representing physical-world characteristics, and continual augmentations of such information in response to adjustments directed by users or automatically detected from actions such as user movement, other user manipulation, or movement of the visualization platform itself. The framework enables traffic applications such that a user can, when the platform is interfaced with intersection or roadway equipment, adjust machine activity or signal timing based upon the visualizations or data presented via the visualization platform. The visualization platform may also be configured to present the traffic data, and the content representative of physical-world characteristics, in a virtual reality setting.

Claim (Index 22):
An augmented reality system for traffic applications, comprising:\n a computing environment including at least one computer-readable storage medium having program instructions stored therein and a computer processor operable to execute the program instructions to generate an augmented reality visualization of the physical-world characteristic, the plurality of data processing modules including: a data ingest module configured to ingest at least one of a video image, a video stream, or a map as input data representing a physical-world characteristic relative to a transportation environment that includes at least one of an intersection, a roadway, and conditions in the transportation environment where traffic activity occurs a visualization platform configured to display the input data and traffic for the physical-world characteristic, the visualization platform including a display apparatus that includes at least one of a mobile device, a wearable device, a display inside a piece of traffic equipment, a holo-glass image displayed inside a piece of traffic equipment, a heads-up display, and a three-dimension projection; one or more modules configured to continually augment the input data with the traffic data in the visualization platform, by\n configuring the input data on a visualization platform for display of the at least one a video image, a video stream, or a map; \n determining a geographical position of the visualization platform; \n identifying a manipulation of the visualization platform from one or more of a movement, tilt or a change in direction; \n requesting the traffic data for the physical-world characteristic based on the geographical position and the manipulation of the visualization platform; \n overlaying the traffic data onto the at least one a video image, a video stream, or a map of the physical-world characteristic to augment the input data with the traffic data on the visualization platform; and \n modifying the traffic data based on additional input generated by the manipulation of the visualization platform, \n an output module configured to initiate one or more responsive actions from the augmented reality visualization of the physical-world characteristic, the one or more responsive actions including at least one of modification of traffic data detection, and an adjustment of a traffic signal timing.

Metadata:
- Claim Count in Document: 25.0
- Percentile: 99.0
- Lexical Diversity: 2.0
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14702709', '15268195', '14702707', '15603086', '14703854']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3304910868929909
- 35 USC 102 Novelty (BERT): 0.4810175236867611
- Combined Prediction Score: 0.345543730572368
- Mean Citation Score: 160.769264
- Max Citation Score: 167.20563
- Similarity Product: 117.342846242314

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

Dataset: test