PATENT CLAIM ANALYSIS

Application Number: 16222536
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-09
Patent Classification: ["701", "117000"]

Abstract:
Among other things, data is received from a sensor oriented to monitor ground transportation entities at or near an intersection of a transportation network, and a machine learning model predicts behavior of ground transportation entities at or near the intersection at a current time. The machine learning model is based on training data about previous motion and related behavior of ground transportation entities at or near the intersection. Current motion data is applied to the machine learning model to predict imminent behaviors of the ground transportation entities. An imminent dangerous situation for one or more of the ground transportation entities at or near the intersection is inferred from the predicted imminent behaviors. A wireless communication device sends a warning about the dangerous situation to one of the ground transportation entities.

Claim (Index 10):
A method comprising\n receiving data from sensors oriented to monitor ground transportation entities at or near an intersection of a ground transportation network,\n the data from each of the sensors representing at least one location or motion parameter of at least one of the ground transportation entities \n the data from each of the sensors being expressed in a native format of the sensor, \n the data received from at least two of the sensors being inconsistent with respect to the location or motion parameters represented by the data or with respect to the native formats of the sensors or with respect to both, \n converting the data from the sensors into data having a common format independent of the native formats of the data of one or more of the sensors, incorporate the data that has the common format and is inconsistent with respect to the location or motion parameters into a global unified representation of the location or motion parameters of the ground transportation entities being monitored at or near the intersection, the global unified representation representing the location, speed, and heading of each of the ground transportation entities, the global unified representation represents the locations of the ground transportation entities in a common reference frame comprising a geographic coordinate system, determining relationships of locations and motions of two of the ground transportation entities using the global unified representation, predicting a dangerous situation involving the two ground transportation entities based on the determined relationships, and sending a message to at least one of the two ground transportation entities alerting it to the dangerous situation.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 98.0
- Lexical Diversity: 2.28333
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15994826', '15303876', '15180924', '11113941', '14610854']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3666605515399802
- 35 USC 102 Novelty (BERT): 0.5439894394038638
- Combined Prediction Score: 0.3843934403263686
- Mean Citation Score: 198.317316
- Max Citation Score: 412.6749
- Similarity Product: 247.35331904232496

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

Dataset: test