Reduced resolution lane detection algorithm

Autonomous vehicles, as people all know, will have great impact to human transportation in the near future. In the vision system of autonomous vehicles, the lane detection has always been an important part. This paper describes an algorithm which can make the lane detection process faster and more a...

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Published in2017 IEEE AFRICON pp. 1459 - 1464
Main Authors Li Dang, Tewolde, Girma, Xiaoyuan Zhang, Jaerock Kwon
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2017
Subjects
Cameras
Colored noise
Detection algorithms
Image color analysis
Image edge detection
Image resolution
Lane detection
lane pixel
reduced resolution
threshold image
Transforms
Online AccessGet full text
ISSN2153-0033
DOI10.1109/AFRCON.2017.8095697

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Abstract Autonomous vehicles, as people all know, will have great impact to human transportation in the near future. In the vision system of autonomous vehicles, the lane detection has always been an important part. This paper describes an algorithm which can make the lane detection process faster and more applicable. The algorithm is mainly based on lane mark detection and Reduced Resolution lane detection algorithm (R 2 algorithm). The accuracy of the lane detection, using this algorithm, would not be affected and the system, meantime, has a quicker reaction. The high frame per second result shows that the high performance lane detection algorithm is able to be applied to autonomous vehicles with improved success.
AbstractList Autonomous vehicles, as people all know, will have great impact to human transportation in the near future. In the vision system of autonomous vehicles, the lane detection has always been an important part. This paper describes an algorithm which can make the lane detection process faster and more applicable. The algorithm is mainly based on lane mark detection and Reduced Resolution lane detection algorithm (R 2 algorithm). The accuracy of the lane detection, using this algorithm, would not be affected and the system, meantime, has a quicker reaction. The high frame per second result shows that the high performance lane detection algorithm is able to be applied to autonomous vehicles with improved success.
Author Li Dang
Xiaoyuan Zhang
Jaerock Kwon
Tewolde, Girma
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  surname: Jaerock Kwon
  fullname: Jaerock Kwon
  email: jkwon@kettering.edu
  organization: Electr. & Comput. Eng. Dept., Kettering Univ., Flint, MI, USA
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Snippet Autonomous vehicles, as people all know, will have great impact to human transportation in the near future. In the vision system of autonomous vehicles, the...
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SubjectTerms Cameras
Colored noise
Detection algorithms
Image color analysis
Image edge detection
Image resolution
Lane detection
lane pixel
reduced resolution
threshold image
Transforms
Title Reduced resolution lane detection algorithm
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