PATENT CLAIM ANALYSIS

Application Number: 15995094
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-05
Patent Classification: ["340", "435000"]

Abstract:
A blind spot informative system includes a sensing module, an arithmetic unit and a display device. The sensing module is disposed in a vehicle, wherein the sensing module is configured to obtain parameters of an object nearby a vehicle. The arithmetic unit is configured to evaluate a chance that the object would collide with the vehicle and, if applicable, an estimated time of collision based on the parameters. The display device is configured to display the estimated time of collision to the driver for avoiding the collision.

Claim (Index 1):
A blind spot informative system, comprising:\n a sensing module disposed in a vehicle and configured to detect and gather a plurality of parameters of an object nearby the vehicle; an arithmetic unit configured to evaluate a chance the object would collide with the vehicle and, if a collision is foreseeable, an estimated time of collision based on the parameters and available data, wherein the arithmetic unit is further configured to evaluate at least one feasible advice to avoid the foreseeable collision based on the parameters and the available data, and the available data comprises a planned route of the vehicle; and a display device configured to display the estimated time of collision and the feasible advice to inform a driver of the vehicle.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 93.0
- Lexical Diversity: 2.02128
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12053464', '14731240', '12956125', '13606058', '11839903']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6642316335786036
- 35 USC 102 Novelty (BERT): 0.4656218437959691
- Combined Prediction Score: 0.6443706546003402
- Mean Citation Score: 157.878644
- Max Citation Score: 163.37245
- Similarity Product: 134.22308835318978

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

Dataset: test