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http://dx.doi.org/10.5762/KAIS.2017.18.8.355

Extraction of Road Information Based on High Resolution UAV Image Processing for Autonomous Driving Support  

Lee, Keun-Wang (Department of Multimedia Science, Chungwoon University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.18, no.8, 2017 , pp. 355-360 More about this Journal
Abstract
Recently, with the development of autonomous vehicle technology, the importance of precise road maps is increasing. A precise road map is a digital map with lane information, regulations, safety information, and various road facilities. Conventional precise road maps have been tested and developed based on the mobile mapping system (MMS). But they have not been activated due to high introduction costs. However, in the case of unmanned aerial vehicles (UAVs), the application field is continuously increasing. This study tries to extract information through classification of high-resolution UAV images for autonomous driving. Autonomous vehicle test roads were selected as study sites, and high-resolution orthoimages were produced using UAVs. In addition, the utilization of high-resolution orthoimages has been proposed by effectively extracting data for precise road map construction, such as road lines, guards, and machines through image classification. If additional experimentation and verification are performed, the field of UAV image use will be expanded, providing the data to automobile manufacturers and related public and private organizations, and venture companies will contribute to the development of domestic autonomous vehicle technology.
Keywords
Autonomous Driving; Image Classification; Ortho Image; Precise Road Map; UAV;
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Times Cited By KSCI : 7  (Citation Analysis)
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