PATENT CLAIM ANALYSIS

Application Number: 16396930
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["382", "104000"]

Abstract:
A friction estimation system for estimating friction-related data associated with a surface on which a vehicle travels, may include a camera array including a plurality of imagers configured to capture image data associated with a surface on which a vehicle travels. The image data may include light data associated with the surface. The friction estimation system may also include an image interpreter in communication with the camera array and configured to receive the image data from the camera array and determine friction-related data associated with the surface based, at least in part, on the image data. The image interpreter may be configured to be in communication with a vehicle control system and provide the friction-related data to the vehicle control system.

Claim (Index 1):
A friction estimation system for estimating friction-related data associated with a surface on which a vehicle travels, the friction estimation system comprising:\n a sensor configured to capture data associated with a surface on which a vehicle travels; a data interpreter in communication with the sensor and configured to receive the data from the sensor and determine friction-related data associated with the surface based, at least in part, on the data; a location sensor, an output of which comprises a location of the vehicle; and one or more processors configured to associate, based at least in part on the location, the friction-related data with a map accessible to the vehicle.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 100.0
- Lexical Diversity: 2.61224
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15281416', '15437677', '16051116', '14061793', '15177398']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2697616342407015
- 35 USC 102 Novelty (BERT): 0.442080881426558
- Combined Prediction Score: 0.2869935589592872
- Mean Citation Score: 118.58016840000002
- Max Citation Score: 164.79456000000005
- Similarity Product: 153.09772493808745

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