PATENT CLAIM ANALYSIS

Application Number: 15883223
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-06
Patent Classification: ["340", "010300"]

Abstract:
A method and system for facilitating cost effective, reliable, system redundant, self-driving vehicles involves the employment of specialized lane marking components that permit unprecedented sensor feedback, and in particular, a system and method that enables accurate lane marking recognition despite adverse weather conditions, which presently pose problems experienced by self-driving systems that rely upon vision based camera systems.

Claim (Index 19):
A method for limiting a vehicle's lane departure, comprising:\n detecting, using a magnetic sensor, magnetic signals emanating from magnetic road markers positioned on a road, said magnetic road markers comprising pavement marking material applied to a roadway surface; said pavement marking material adapted to reflect at least two of the following signals: visible light, laser from a lidar; and a radar signal; said magnetic road markers presenting a magnetic signal and adapted to be positioned substantially in the center of the roadway; said magnetic road markers including one or more rare earth magnetic components and at least one or more RFID tags, said magnetic road markers comprising a raised pavement marking material that includes a top surface and a bottom surface opposite the top surface, two opposing angled side surfaces adjacent the top surface and bottom surface, with at least one of said one or more rare earth magnetic components and the at least one or more RFID tags included in said raised pavement marking material; and detecting the at least one or more RFID tags using an RFID tag reader associated with the vehicle, said RFID tag reader and said magnetic sensor being positioned on the vehicle; and wherein said method enables accurate lane marking recognition despite weather conditions where the road is covered by snow.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 86.0
- Lexical Diversity: 1.32653
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14938352', '11055502', '12009255', '10861734', '13903301']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.628217082668213
- 35 USC 102 Novelty (BERT): 0.5981535471484041
- Combined Prediction Score: 0.6252107291162321
- Mean Citation Score: 256.42246000000006
- Max Citation Score: 482.2103
- Similarity Product: 458.1895116933048

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

Dataset: test