PATENT CLAIM ANALYSIS

Application Number: 15928719
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["701", "041000"]

Abstract:
Compensation for an effect of lane grooves in a roadway on driving behavior of a vehicle is performed, wherein lane grooves are detected by a device designed for this purpose such as a stereo camera. Information regarding a character of the lane grooves is transmitted to a control device, and control commands are transmitted by the control device to a steering device of the vehicle, or to actuators of vehicle wheels, in order to counteract the effect of the lane grooves on the driving behavior.

Claim (Index 1):
A method to compensate for effects caused by lane grooves in a surface of a road comprising:\n detecting, via a device, lane grooves lying ahead of a vehicle on a roadway, before the vehicle reaches the lane grooves; determining a position, form and orientation of the lane grooves in relation to wheels and a wheelbase of the vehicle; calculating an influence of the lane grooves on the vehicle considering an expected vehicle speed in a region of the lane grooves, and the position, form and orientation of the lane grooves; and compensating for the lane grooves, using a pull-drift compensation facility, by steering the wheels counter to a direction indicative of the influence of the lane grooves with a driving assistance system.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.02222
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13989305', '15358166', '10994319', '14760438', '11001185']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4392783286463456
- 35 USC 102 Novelty (BERT): 0.4668213541449121
- Combined Prediction Score: 0.4420326311962023
- Mean Citation Score: 174.23852200000005
- Max Citation Score: 181.06233
- Similarity Product: 138.85038800111178

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