PATENT CLAIM ANALYSIS

Application Number: 16328709
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["315", "077000"]

Abstract:
The present invention provides a method and an apparatus for dynamically controlling the luminance of a tail light of a vehicle tail lamp in response to a change in the difference of speed between a vehicle and a vehicle therebehind, and for preventing a collision between the traveling vehicles. In addition, the apparatus comprises: a tail light operating unit, which slowly or rapidly becomes brighter up to a predetermined brightness as the speed difference between the vehicle and the vehicle behind gradually becomes larger, and slowly or rapidly becomes darker down to a predetermined brightness as the speed difference between the vehicle and the vehicle behind gradually becomes smaller; a speed sensing unit for measuring the speed of the vehicle; a rear speed sensing unit for measuring the speed of the vehicle therebehind; and a control unit for automatically adjusting the luminance of the tail light by controlling the tail light operating unit when the vehicle therebehind is traveling faster than the vehicle.

Claim (Index 12):
The apparatus according to  claim 8 , wherein the rear speed sensing unit uses any one of a vehicle to everything (V2X) technique and a sensor, wherein\n when the rear speed sensing unit uses the V2X technique, a speed measured by a communication technique between vehicles or between a vehicle and a thing is used, and when the rear speed sensing unit uses the sensor, any one of an ultrasonic sensor, an infrared sensor and a Doppler sensor is used.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 99.0
- Lexical Diversity: 2.58209
- Patent Class: 315.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15593581', '14306786', '12022670', '12022643', '15200595']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.721720003419938
- 35 USC 102 Novelty (BERT): 0.492075286996694
- Combined Prediction Score: 0.6987555317776136
- Mean Citation Score: 187.61923
- Max Citation Score: 207.39853
- Similarity Product: 148.22020994425057

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