Traffic Assistant System For Road Junctions

but.event.date25.04.2019cs
but.event.titleStudent EEICT 2019cs
dc.contributor.authorPodola, David
dc.date.accessioned2020-04-16T07:19:32Z
dc.date.available2020-04-16T07:19:32Z
dc.date.issued2019cs
dc.description.abstractRoad junctions are one of the most common places where collisions happen. This article proposes an algorithm for moving object extraction, which will act as an input for an assistant systém based on cameras, image processing algorithms and a light signal, monitoring the situation at a junction and providing the driver with an information, whether the situation is safe and the driver can enter the junction safely. The algorithm takes decision based on the direction and speed of the moving objects. The results have shown that it is feasible to solve the challenge by the chosen method, however, the most challenging part would be various weather conditions as well as reliable shadow detection.en
dc.formattextcs
dc.format.extent304-307cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 25st Conference STUDENT EEICT 2019. s. 304-307. ISBN 978-80-214-5735-5cs
dc.identifier.isbn978-80-214-5735-5
dc.identifier.urihttp://hdl.handle.net/11012/186678
dc.language.isocscs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 25st Conference STUDENT EEICT 2019en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectcomputer visionen
dc.subjectmoving object detectionen
dc.subjectvehicle detectionen
dc.subjectassistance and cooperative traffic systemsen
dc.subjectroad accident reductionen
dc.titleTraffic Assistant System For Road Junctionsen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
304_eeict2019.pdf
Size:
710.86 KB
Format:
Adobe Portable Document Format
Description: