PATENT CLAIM ANALYSIS

Application Number: 16087477
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["382", "104000"]

Abstract:
A travel lane detection method overlaps a plurality of travel lane boundary point groups parallel to each other, extracted according to continuity of a plurality of travel lane characteristic points detected by a target detection sensor installed in a vehicle, estimates a travel lane outline according to the travel lane characteristic points included in the overlapped travel lane boundary point groups, and determines travel lane boundaries based on lateral positions of the travel lane boundary point groups parallel to each other and the estimated travel lane outline.

Claim (Index 1):
A travel lane detection method using a travel lane detection circuit for determining travel lane boundaries according to a plurality of travel lane characteristic points detected by a target detection sensor installed in a vehicle, the travel lane detection circuit being configured to execute the steps of:\n extracting a travel lane boundary point group based on continuity of the plural travel lane characteristic points; when a plurality of travel lane boundary point groups parallel to each other are detected, overlapping the parallel travel lane boundary point groups by moving in a vehicle width direction; estimating a travel lane outline according to the travel lane characteristic points included in the overlapped travel lane boundary point groups; and determining the travel lane boundaries by moving the estimated travel lane outline in the vehicle width direction.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 97.0
- Lexical Diversity: 2.11628
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16087422', '14609572', '10163424', '15763369', '13820030']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3458380679942222
- 35 USC 102 Novelty (BERT): 0.5092845602855043
- Combined Prediction Score: 0.3621827172233505
- Mean Citation Score: 208.1869
- Max Citation Score: 303.0662
- Similarity Product: 266.1578473479032

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