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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/61469
Title: Domain adaptive dehaing based on physical properties
Authors: Hao Ni
Hongfei Lian
Qiuyu Liu
Hongqi Fan
Keywords: материалы конференций;D-S evidence theory;radar-vision fusion;autonomous driving
Issue Date: 2025
Publisher: БГУИР
Citation: Hao 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.
Abstract: To 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.
URI: https://libeldoc.bsuir.by/handle/123456789/61469
Appears in Collections:Информационная безопасность : материалы 61-й научной конференции аспирантов, магистрантов и студентов (2025)

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