PATENT CLAIM ANALYSIS

Application Number: 16147948
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["362", "465000"]

Abstract:
A vehicular adaptive driving beam headlighting system includes a camera disposed at and viewing forwardly through a windshield of a vehicle. A control includes an image processor that processes image data captured by the camera at night to detect headlights present in a field of view of the camera of an oncoming vehicle that is approaching the equipped vehicle along a traffic lane to the left of a traffic lane of a road that the equipped vehicle is travelling along. A left-side headlamp is disposed at a left-side front portion of the equipped vehicle and a right-side headlamp is disposed at a right-side front portion of the equipped vehicle. Responsive to detection of headlights of an oncoming vehicle, the left-side headlamp beam of light is adjusted to reduce glaring a driver of the oncoming vehicle.

Claim (Index 26):
The vehicular adaptive driving beam headlighting system of  claim 21 , wherein, responsive to detection via image processing by said image processor of captured image data of headlights of the oncoming vehicle that is travelling along the traffic lane to the left of the traffic lane that the equipped vehicle is travelling along, the left-side headlamp beam of light emitted by said left-side headlamp is adjusted to reduce glaring a driver of the oncoming vehicle, and wherein said adjustment of the left-side headlamp beam is independent of any adjustment of the right-side headlamp beam of light emitted by said right-side headlamp.

Metadata:
- Claim Count in Document: 68.0
- Percentile: 97.0
- Lexical Diversity: 2.29508
- Patent Class: 362.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13292120', '13427166', '14467297', '13074698', '12171436']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9082505051049304
- 35 USC 102 Novelty (BERT): 0.5170466417547864
- Combined Prediction Score: 0.8691301187699161
- Mean Citation Score: 330.5229379999999
- Max Citation Score: 348.34894
- Similarity Product: 244.51079456972005

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

Dataset: test