改良型 YOLOv8 模型於 nVIDIA 高效能運算器之即時無人機影像偵測與追蹤

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姓名

游知欣(Chih-Hsin Yu) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

改良型 YOLOv8 模型於 nVIDIA 高效能運算器之即時無人機影像偵測與追蹤
(Modified YOLOv8 Model for Real-Time Drone Image Detection and Tracking with nVIDIA HPC)

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至系統瀏覽論文 (2026-12-31以後開放)

摘要(中)

偵測不同機種的無人機對於確保安全合法使用和防範潛在風險至關重要，本文利用視覺偵測的方法對無人機進行偵測，以 YOLOv8 物件偵測模型對六種不同型態的無人機進行影像辨識、分類。根據無人機在影像上為小物件的特性透過注意力機制對模型進行改良，使模型更加注重部分的影像訊息，抓取小物件的特徵；另外一方面，因應無人機的移動特性，在模型中加入可變形卷積，透過可變形卷積中加入偏移量的機制，使模型影像更能準確的偵測無人機。實驗結果表明，本文提出的在原始 YOLOv8 架構中加入注意力機制以及可變形卷積地模型比原始 YOLOv8 模型有更高的精確率。

摘要(英)

Detecting different drone models is crucial for ensuring safe andlegal use while mitigating potential risks.In this paper employs visual detection using the YOLOv8 model to identify and classify six drone types.To enhance small object detection, attention mechanisms are integrated to focus on specific image details. Additionally, deformable convolutionsare included to address drone movement, improving detection accuracy.Results indicate that the proposed model, with attention mechanisms anddeformable convolutions, surpasses the original YOLOv8 model in precision.

關鍵字(中)

★ 無人機偵測
★ 視覺偵測
★ 物件偵測
★ 注意力機制
★ YOLOv8

關鍵字(英)

★ Drone Detection
★ Visual Detection
★ Object Detection
★ Attention Mechanism
★ YOLOv8

論文目次

中文摘要 . i
英文摘要 . ii
致謝詞 . iii
圖目錄 . ii
表目錄 . iv
第 1 章序論 1
1.1 無人機偵測 1
1.2 視覺偵測無人機 4
1.3 章節架構 7
第 2 章系統模型 8
2.1 即時無人機影像偵測與追蹤系統 8
2.2 加入射頻偵測之即時無人機影像偵測與追蹤系統 11
2.3 視覺偵測訓練資料 15
第 3 章即時無人機影像偵測與追蹤系統模組 18
3.1 相機調整模組 19
3.1.1 依據預設角度更新相機模組 20
3.1.2 依據視覺座標角度更新相機模組 21
3.1.3 相機倍率調整模組 23
3.2 無人機視覺偵測 25
3.3 無人機視覺追蹤 27
3.4 加入射頻偵測之即時無人機影像偵測與追蹤系統模組 30
第 4 章改良 YOLOv8 無人機視覺偵測模型 36
4.1 YOLOv8 36
4.1.1 Feature Fusing 39
4.1.2 Decoupled-Head Detection 39
4.2 注意力機制 40
4.2.1 Coordinate Attention 41
4.2.2 Convolutional Block Attention Module 43
4.3 Deformable Convolutional Networks 46
4.4 改良 YOLOv8 結構48
第 5 章實時系統模擬與結果分析 51
5.1 視覺偵測模型 51
5.1.1 視覺模型評估 51
5.1.2 視覺模型架構分析 53
5.1.3 視覺模型偵測影片結果 60
5.2 即時無人機影像偵測與追蹤系統偵測結果 63
5.3 加入射頻偵測之即時無人機影像偵測與追蹤系統偵測結果 . . 69
第 6 章結論與展望 74
參考文獻 76

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指導教授

張大中(Dah-Chung Chang)

審核日期

2024-8-16

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