PATENT CLAIM ANALYSIS

Application Number: 15883176
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-03
Patent Classification: ["340", "435000"]

Abstract:
Vehicles systems for predicting a trajectory of an object proximate to vehicles are disclosed. A vehicle system includes one or more sensors, one or more processors communicatively coupled to the one or more sensors, a memory module communicatively coupled to the one or more processors, and machine readable instructions stored in the memory module. The machine readable instructions, when executed by the processor, cause the system to: detect an object based on one or more signals output by the one or more sensors; classify the object into an object classification; predict a trajectory of the object based on at least one behavior characteristic of the object determined from a model corresponding to the object classification; predict a trajectory of the vehicle; and provide a warning when the detected object is likely to move from a non-obstacle position to an obstacle position based on the predicted trajectories of the object and the vehicle.

Claim (Index 8):
The system of  claim 1 , further comprising a screen, wherein:\n the screen is configured to display the object and the vehicle on a map, and the screen is configured to display the warning based on the predicted trajectory of the object and the predicted trajectory of the vehicle.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.29167
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15684865', '14804661', '15833715', '15848564', '14757016']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6606722082727607
- 35 USC 102 Novelty (BERT): 0.4850164395695175
- Combined Prediction Score: 0.6431066314024365
- Mean Citation Score: 183.22145200000003
- Max Citation Score: 193.40744
- Similarity Product: 146.6980983688784

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