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dc.contributor.author Park, Jicheol -
dc.contributor.author Lee, Jin-He -
dc.contributor.author Son, Sang Hyu -
dc.date.accessioned 2026-04-15T17:16:00Z -
dc.date.available 2026-04-15T17:16:00Z -
dc.date.created 2017-05-08 -
dc.date.issued 2016 -
dc.identifier.uri https://scholar.dgist.ac.kr/handle/20.500.11750/60264 -
dc.description.abstract Obstacle detection is one of the key requirements for autonomous vehicles. Many researchers have developed the techniques for obstacle detection for the safety of the drivers. Vision-based technique is one of popular obstacle detection techniques. We survey vision-based obstacle detection approaches, and present two approaches. In future work, we intend to implement a dynamic obstacle detection technique using vision sensors in urban road. © 2016 IEEE. -
dc.publisher Institute of Electrical and Electronics Engineers Inc. -
dc.title A Survey of Obstacle Detection Using Vision Sensor for Autonomous Vehicles -
dc.type Article -
dc.identifier.doi 10.1109/RTCSA.2016.54 -
dc.identifier.wosid 000387085600050 -
dc.identifier.scopusid 2-s2.0-84994504707 -
dc.identifier.bibliographicCitation 22nd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016, pp.264 -
dc.citation.startPage 264 -
dc.citation.title 22nd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016 -
dc.description.journalRegisteredClass scopus -
dc.type.docType Conference Paper -
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