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Design and Implementation of Traffic-Scene Understanding System for Autonomous Vehicle

Title
Design and Implementation of Traffic-Scene Understanding System for Autonomous Vehicle
Author(s)
Kwon, SoonDing, Da JunPark, Jae HyeongKim, Young DukKim, Jun KwangJung, Woo Young
DGIST Authors
Kwon, SoonDing, Da JunPark, Jae HyeongKim, Young DukKim, Jun KwangJung, Woo Young
Issued Date
2016-01
Type
Article
ISSN
2186-5140
Abstract
In this paper, vision based scene understanding algorithm is designed for autonomous driving system. Integrated algorithm is composed of lane detection and lane type/position recognition part, road marking recognition part, traffic sign recognition and traffic light recognition part. Visual recognition result is delivered to vehicle control part for generating steering angle and speed value. Through the field test in the autonomous driving platform, we found that proposed system shows robust performance in real road and traffic environment.
URI
http://hdl.handle.net/20.500.11750/6477

http://www.bncss.org/index.php/bncss/article/view/74
Publisher
Hiroshima University
Related Researcher
  • 권순 Kwon, Soon 미래자동차연구부
  • Research Interests computer vision; deep learning; autonomous driving; parallel processing; vision system on chip
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Appears in Collections:
Division of Automotive Technology 1. Journal Articles

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