PATENT CLAIM ANALYSIS

Application Number: 16071447
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["701", "301000"]

Abstract:
The present invention is directed to a novel road information recognition system capable of highly accurately estimating the positions of lane markers to be located on the far side of a lane after change of lane. The present invention is equipped with a front lane marker detection means for detecting, by using a front imaging means, lane markers located ahead of a host vehicle; a side lane marker detection means for detecting, by using a side imaging means, the positions of lane marker located on both sides of the vehicle and a lane width; and a front lane marker estimation means for estimating the positions of the lane markers to be located on the far side of the lane after change of lane on the basis of the information regarding the lane markers located ahead of the vehicle, which is obtained by the front lane marker detection means, and the positions of the lane markers located on the sides of the vehicle and the lane width, which are obtained by the side lane marker detection means.

Claim (Index 9):
The road information recognition method according to  claim 8 , wherein\n the lane marker of the lane before change of lane and the lane marker on a far side of the lane after change of lane are displayed in different display forms.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 95.0
- Lexical Diversity: 3.4
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12620717', '10163424', '12690641', '10695799', '10021074']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4397653409177865
- 35 USC 102 Novelty (BERT): 0.4987185942756968
- Combined Prediction Score: 0.4456606662535775
- Mean Citation Score: 241.39933
- Max Citation Score: 253.74484
- Similarity Product: 195.84336333765984

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

Dataset: test