PATENT CLAIM ANALYSIS

Application Number: 16125903
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["348", "118000"]

Abstract:
A vehicular vision system includes front, rear, driver-side camera and passenger-side cameras each having a respective field of view exterior of the vehicle. Each of the cameras connects with a central video/image processor via a respective mono coaxial cable. Image data captured by the imaging sensor of each camera is carried as captured to the central video/image processor via said the respective mono coaxial cable as a Low Voltage Differential Signal (LVDS). The central video/image processor generates an output provided to a video display device of the vehicle, with the video display device having a video display screen viewable by a driver of the vehicle. The video display screen is operable to display a birds-eye view of an area around the vehicle. The birds-eye view of the area around the vehicle is derived, at least in part, from image data captured by the imaging sensors of the cameras.

Claim (Index 8):
The vision system of  claim 1 , wherein, responsive at least in part to processing of image data at said central video/image processor detecting presence of a hazardous object exterior of the equipped vehicle, an alert is provided to the driver of the vehicle.

Metadata:
- Claim Count in Document: 71.0
- Percentile: 97.0
- Lexical Diversity: 2.14667
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14359341', '16117172', '15700274', '15295057', '14852950']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7093006539340353
- 35 USC 102 Novelty (BERT): 0.523331791426458
- Combined Prediction Score: 0.6907037676832776
- Mean Citation Score: 292.989144
- Max Citation Score: 346.0741
- Similarity Product: 277.2347893891156

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