PATENT CLAIM ANALYSIS

Application Number: 15956339
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["701", "469000"]

Abstract:
Provided herein is a method for establishing lane-level data from probe data. Methods may include receiving probe data points associated with a plurality of vehicles; determining, for each of the probe data points, a location and road segment corresponding to the location; generating, from the probe data points associated with a first road segment, a cell-density image of the first road segment, where the cell-density image represents a volume of probe data points at each of a plurality of cells of a grid overlaid on the first road segment; applying a deconvolution method to the cell-density image to obtain a refined cell-density image having a lower degree of data point spread; determining, from the refined cell-density image, a number of paths along the first road segment, where each path represents a lane; and computing, from the refined cell-density image, lane-level properties of the probe data of the first road segment.

Claim (Index 5):
The mapping system of  claim 1 , wherein the probe data points each include a timestamp, wherein the processing circuitry configured to generate, from the probe data points associated with a first road segment, a cell-density image of the first road segment comprises processing circuitry configured to:\n separate the probe data points into at least two different periods of time based on the respective timestamps, and generate, from the probe data points associated with the first road segment and associated with each period of time, a spatiotemporal cell-density image dimension of the first road segment for each period of time.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 91.0
- Lexical Diversity: 2.7377
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15956316', '15654066', '15656499', '14511603', '14572197']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4444698075640394
- 35 USC 102 Novelty (BERT): 0.5601149054598412
- Combined Prediction Score: 0.4560343173536196
- Mean Citation Score: 297.584982
- Max Citation Score: 444.35086
- Similarity Product: 340.035508400681

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