PATENT CLAIM ANALYSIS

Application Number: 15890009
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["701", "023000"]

Abstract:
An approach is provided for machine learning of physical dividers. The approach, for instance, involves retrieving map data, sensor data, or a combination thereof for a segment of a road. The approach also involves retrieving ground truth data for the segment of the road. The ground truth data, for instance, indicates a true presence or a true absence of the physical divider on the segment of the road. The approach further involves processing the map data, the sensor, or a combination thereof and the ground truth data to train a machine learning model to predict the physical divider using the map data, the sensor data, or a combination thereof as an input. The approach further involves using the trained machine learning model to a generate a physical divider overlay of a map representation of a road network.

Claim (Index 10):
An apparatus for machine-learning of a physical divider comprising:\n at least one processor; and at least one memory including computer program code for one or more programs, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following,\n collect map data, sensor data, or a combination thereof from a vehicle traveling on a road segment; \n process the map data, the sensor data, or a combination thereof using a machine learning model to predict a presence or an absence of a potential physical divider on the target road segment, wherein the machine learning model is trained using training map data, training sensor data, or a combination thereof and ground truth data regarding a true presence or a true absence of a reference physical divider; and \n activate or deactivate an autonomous driving mode of the vehicle, provide a notification prior to an activation or a deactivation of the autonomous driving mode, or a combination thereof based on the predicted presence or the predicted absence of the physical divider.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 88.0
- Lexical Diversity: 3.0
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15597999', '14578956', '15842444', '16313058', '15464398']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4212985467535895
- 35 USC 102 Novelty (BERT): 0.4691054065916645
- Combined Prediction Score: 0.426079232737397
- Mean Citation Score: 174.051352
- Max Citation Score: 207.404
- Similarity Product: 170.3754020256996

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