PATENT CLAIM ANALYSIS

Application Number: 15995688
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["404", "084050"]

Abstract:
A method includes receiving information indicative of a cold planer travel path, the cold planer travel path extending substantially centrally through a cut area formed by a cold planer on a work surface. The method also includes determining a paving machine travel path within the cut area based at least in part on the information, and determining a screed portion setting based at least in part on the paving machine travel path. The method further includes controlling a paving machine to traverse the paving machine travel path, and controlling a screed portion of the paving machine to deposit paving material within the cut area, based at least in part on the screed portion setting, as the paving machine traverses at least a portion of the paving machine travel path.

Claim (Index 3):
The method of  claim 1 , wherein the information comprises a plurality of sequential GPS coordinates determined by location sensors disposed on the cold planer, the method further comprising:\n determining a first boundary of the cut area based at least in part on the plurality of sequential GPS coordinates; and determining a second boundary of the cut area opposite the first boundary based at least in part on the plurality of GPS coordinates.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 94.0
- Lexical Diversity: 2.79592
- Patent Class: 404.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15817913', '15841723', '13715439', '14965618', '14083685']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7445395630402587
- 35 USC 102 Novelty (BERT): 0.4873070195528455
- Combined Prediction Score: 0.7188163086915174
- Mean Citation Score: 230.792964
- Max Citation Score: 234.9934
- Similarity Product: 186.46086329565048

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

Dataset: test