Traffic Assistant System For Road Junctions
but.event.date | 25.04.2019 | cs |
but.event.title | Student EEICT 2019 | cs |
dc.contributor.author | Podola, David | |
dc.date.accessioned | 2020-04-16T07:19:32Z | |
dc.date.available | 2020-04-16T07:19:32Z | |
dc.date.issued | 2019 | cs |
dc.description.abstract | Road 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.format | text | cs |
dc.format.extent | 304-307 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Proceedings of the 25st Conference STUDENT EEICT 2019. s. 304-307. ISBN 978-80-214-5735-5 | cs |
dc.identifier.isbn | 978-80-214-5735-5 | |
dc.identifier.uri | http://hdl.handle.net/11012/186678 | |
dc.language.iso | cs | cs |
dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.relation.ispartof | Proceedings of the 25st Conference STUDENT EEICT 2019 | en |
dc.relation.uri | http://www.feec.vutbr.cz/EEICT/ | cs |
dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.rights.access | openAccess | en |
dc.subject | computer vision | en |
dc.subject | moving object detection | en |
dc.subject | vehicle detection | en |
dc.subject | assistance and cooperative traffic systems | en |
dc.subject | road accident reduction | en |
dc.title | Traffic Assistant System For Road Junctions | en |
dc.type.driver | conferenceObject | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- 304_eeict2019.pdf
- Size:
- 710.86 KB
- Format:
- Adobe Portable Document Format
- Description: