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Poster: Predictive Collision Avoidance considering Trade-off between Distance and Signal Power

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dc.contributor.authorLim, Jiseoup-
dc.contributor.authorJeong, Haegeon-
dc.contributor.authorKang, Kyungtae-
dc.date.accessioned2024-01-10T01:30:43Z-
dc.date.available2024-01-10T01:30:43Z-
dc.date.issued2023-10-
dc.identifier.issn1092-1648-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/116400-
dc.description.abstractThis paper focuses on the challenges of vehicle collisions in wireless network-based vehicle driving systems. The identified issues include: 1) data imbalance and control signal loss/delay due to communication, and 2) scheduling failures. In this study, we propose an relatively critical approach upon signal power and controllability to address these problems. Our method includes statistical observations related to communication bottlenecks and analyzes the relationship between communication performance and collision risk. We also refine the existing theo-retical framework for collision prediction to ensure compatibility with current protocols. To evaluate our proposed approach, we set up an environment with two vehicles operating at a fixed distance from each other and analyzed the correlation between communication strength and real-Time deadline criticality in relation to collision risk. © 2023 IEEE.-
dc.format.extent2-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE Computer Society-
dc.titlePoster: Predictive Collision Avoidance considering Trade-off between Distance and Signal Power-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/ICNP59255.2023.10355612-
dc.identifier.scopusid2-s2.0-85182517248-
dc.identifier.wosid001139632900042-
dc.identifier.bibliographicCitationIEEE International Conference on Network Protocols, pp 1 - 2-
dc.citation.titleIEEE International Conference on Network Protocols-
dc.citation.startPage1-
dc.citation.endPage2-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassforeign-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaTelecommunications-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.subject.keywordAuthorASIL-
dc.subject.keywordAuthorCascading Fail-ure-
dc.subject.keywordAuthorPredictive Collision Avoidance-
dc.subject.keywordAuthorVehicular Communications-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/10355612-
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ERICA 소프트웨어융합대학 (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)
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