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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/61469
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dc.contributor.authorHao Ni-
dc.contributor.authorHongfei Lian-
dc.contributor.authorQiuyu Liu-
dc.contributor.authorHongqi Fan-
dc.coverage.spatialМинскen_US
dc.date.accessioned2025-09-08T06:27:40Z-
dc.date.available2025-09-08T06:27:40Z-
dc.date.issued2025-
dc.identifier.citationHao Ni. Domain adaptive dehaing based on physical properties / Hao Ni, Hongfei Lian, Qiuyu Liu, Hongqi Fan // Информационная безопасность : сборник материалов 61-й научной конференции аспирантов, магистрантов и студентов БГУИР, Минск, 21–25 апреля 2025 г. / Белорусский государственный университет информатики и радиоэлектроники. – Минск, 2025. – С. 120–123.en_US
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/61469-
dc.description.abstractTo address the issue oflow real-time fusion efficiency in multi-source sensor data, this paper proposes an FPGA-based radar-vision fusion method using D-S evidence theory. By implementing a parallel architecture and pipeline optimization, the fusion latency is reduced to the microsecond level while improving resource utilization. Simulation experiments demonstrate that the proposed method offers high reliability and low latency in autonomous driving scenarios, with potential scalability to intelligent transportation systems.en_US
dc.language.isoenen_US
dc.publisherБГУИРen_US
dc.subjectматериалы конференцийen_US
dc.subjectD-S evidence theoryen_US
dc.subjectradar-vision fusionen_US
dc.subjectautonomous drivingen_US
dc.titleDomain adaptive dehaing based on physical propertiesen_US
Appears in Collections:Информационная безопасность : материалы 61-й научной конференции аспирантов, магистрантов и студентов (2025)

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