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 18):
The method of  claim 16  in which one of the sensors comprises a camera and the method comprises converting the data includes determining locations of ground transportation entities from a known location, direction of view, and tilt of the camera and the locations of the ground transportation entities within an image frame of the camera.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 98.0
- Lexical Diversity: 2.28333
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15994826', '15303876', '15180924', '11113941', '14610854']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3927052458421913
- 35 USC 102 Novelty (BERT): 0.5494948069431128
- Combined Prediction Score: 0.4083842019522835
- Mean Citation Score: 198.317316
- Max Citation Score: 412.6749
- Similarity Product: 289.78296944308875

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