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Environment classification and hierarchical lane detection for structured and unstructured roads
H. Y. Cheng
, C. C. Yu, C. C. Tseng,
K. C. Fan
, J. N. Hwang, B. S. Jeng
資訊工程學系
太空及遙測研究中心
網路學習科技研究所
研究成果
:
雜誌貢獻
›
期刊論文
›
同行評審
52
引文 斯高帕斯(Scopus)
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深入研究「Environment classification and hierarchical lane detection for structured and unstructured roads」主題。共同形成了獨特的指紋。
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Keyphrases
Lane Detection
100%
Environment Classification
100%
Unstructured Road
100%
Structured Road
100%
Lane Boundary
100%
Lane Marking
66%
Road Type
66%
Lane Detection Algorithm
66%
Model Selection
33%
Detection System
33%
Weather Conditions
33%
Maximum Likelihood Estimation
33%
Classification Mechanism
33%
Inclination Angle
33%
Most Probable
33%
Hierarchical Architecture
33%
Eigenvalue Decomposition
33%
Moving Vehicle
33%
Bayes Rule
33%
Mean Shift Segmentation
33%
Gaussian Parameters
33%
Regularized Discriminant Analysis
33%
High-dimensional Feature Space
33%
Road Boundary
33%
Regional Boundary
33%
Boundary Rules
33%
Computer Science
lane detection
100%
Detection Algorithm
40%
Experimental Result
20%
mean shift
20%
Extracted Feature
20%
maximum-likelihood
20%
Hierarchical Architecture
20%
Discriminant Analysis
20%
Pixel Classification
20%
Eigenvalue
20%
Likelihood Estimation
20%
Suitable Algorithm
20%
Dimensional Feature Space
20%
Boundary Region
20%
Weather Condition
20%
Engineering
Road
100%
Feature Point
42%
Detection Algorithm
28%
Experimental Result
14%
Eigenvalue
14%
Gaussians
14%
Maximum Likelihood Estimation
14%
Boundary Region
14%
Extracted Feature
14%
Dimensional Feature Space
14%
Bayes Rule
14%