An Information Fusion-based Vision System for an Autonomous Vehicle
- Title
- An Information Fusion-based Vision System for an Autonomous Vehicle
- Author
- 선우명호
- Keywords
- Autonomous vehicle; Vision system; Object detection; Information fusion
- Issue Date
- 2012-11
- Publisher
- 한국자동차공학회
- Citation
- 한국자동차공학회 추계학술대회 및 전시회, 2012, 2012(11), P.1-4
- Abstract
- This paper presents an information fusion-based vision system for an autonomous vehicle. To perceive road environments, the autonomous vehicle uses multiple sensors such as cameras, laser radar sensors, global positioning system (GPS), and in-vehicle sensors. The cameras, one of the multiple sensors, are used for object detection by means of color segmentation, multi-scaled template matching, and AdaBoost algorithm. However, since the cameras are influenced by outdoor conditions such as sudden illumination changes and shadows, detection performance cannot be guaranteed. To overcome the problem, the information fusion is applied using the multiple sensors. The information fusion-based vision system performs the object detection with low false positives and fast computation time. Finally, the proposed approach is validated through on-the-road experiments with various environmental conditions.
- URI
- http://www.dbpia.co.kr/Journal/ArticleDetail/NODE02083429https://repository.hanyang.ac.kr/handle/20.500.11754/69957
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > AUTOMOTIVE ENGINEERING(미래자동차공학과) > Articles
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