UAV結合深度學習輔助公路局邊坡災防應用探討

本計畫以前期研究基礎上，聚焦於UAV結合AI進行落石型邊坡破壞特徵影像判識之探討，主要研究成果計有：(1)蒐集國內外UAV結合AI於邊坡之相關研究文獻；(2)諮詢專家學者及邊坡管理實務單位；(3)調查公路局邊坡應用UAV情形及維護管理機制；(4)探討AI深度學習技術；(5)研析UAV結合AI深度學習影像判識方法。

Based on preliminary research, this project focuses on the exploration of image recognition for rockfall-type slope failure features using UAVs combined with AI. The main research achievements are as follows: (1) Collected relevant domestic and international research literature on the application of UAVs combined with AI in slope engineering; (2) Consulted with experts, scholars and practical slope management units; (3) Investigated the application status of UAVs in slope management by the Highway Bureau and its corresponding maintenance and management mechanisms; (4) Discussed AI deep learning technologies; (5) Analyzed image recognition methods integrating UAVs and AI deep learning.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于无人机结合AI技术用于公路局边坡落石破坏特征影像识别的研究。主要成果包括收集国内外相关文献、咨询专家和实务单位、调查应用现状、探讨深度学习技术，并研究影像识别方法，旨在辅助边坡防灾应用。