PATENT CLAIM ANALYSIS

Application Number: 15883574
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-10
Patent Classification: ["382", "156000"]

Abstract:
A road detection method and apparatus. A specific embodiment of the method includes: acquiring an image of a predetermined region; semantically segmenting the image to acquire a first probability that a region corresponding to each pixel in the image is a road region; acquiring a historical position information set of a target terminal; correcting, in response to historical position information existing in the historical position information set, the historical position information indicating a historical position located in the predetermined region, the first probability according to the historical position information to obtain a second probability; and determining a region corresponding to a pixel having the second probability greater than a preset threshold as a road region. Such an embodiment improves the road detection accuracy.

Claim (Index 10):
The apparatus according to  claim 6 , wherein the acquiring a historical position information set of a target terminal comprises:\n acquiring a position information set uploaded when a preset process and/or a preset thread in the target terminal are started, wherein the preset process and the preset thread are used for realizing a navigation function.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 86.0
- Lexical Diversity: 2.35088
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12509106', '13505165', '15710817', '14972222', '15281201']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3343023144519739
- 35 USC 102 Novelty (BERT): 0.4867471938512165
- Combined Prediction Score: 0.3495468023918981
- Mean Citation Score: 154.559066
- Max Citation Score: 165.57034
- Similarity Product: 109.13937138530608

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

Dataset: test