Robotics & Machine Learning Daily News2024,Issue(Jun.5) :44-45.

Recent Research from Taiyuan University of Technology Highlight Findings in Robo tics and Automation (Fdenet: Fusion Depth Semantics and Edge-attention Informati on for Multispectral Pedestrian Detection)

太原理工大学最近的研究突出了机器人与自动化的研究成果(Fdenet:融合深度语义和边缘注意信息用于多光谱行人检测)

Robotics & Machine Learning Daily News2024,Issue(Jun.5) :44-45.

Recent Research from Taiyuan University of Technology Highlight Findings in Robo tics and Automation (Fdenet: Fusion Depth Semantics and Edge-attention Informati on for Multispectral Pedestrian Detection)

太原理工大学最近的研究突出了机器人与自动化的研究成果(Fdenet:融合深度语义和边缘注意信息用于多光谱行人检测)

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摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员讨论机器人学的新发现-机器人和自动化。根据NewsRx编辑对太原的新闻报道,研究表明:“近年来,多光谱行人检测作为一种多模态解决方案,利用可见光LIG HT和热图像多模态信息来解决弱光环境下行人检测问题,发挥了关键作用。”大多数现有的MET HOD直接混合了两种模式的结果,或者简单地整合了两种模式的特点。本研究经费来源于国家自然科学基金(NSFC)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics - Robotics and Automation. According to news reporting out of Taiyuan, People’s Republic of China, by NewsRx editors, research stated, “In recent years , multispectral pedestrian detection as a multimodal solution, using visible lig ht and thermal image multimodal information to solve pedestrian detection challe nges in low light environments, plays a crucial role. However, most existing met hods directly mix the results of the two modalities or by simply integrating the two modality features.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

Key words

Taiyuan/People’s Republic of China/Asi a/Robotics and Automation/Robotics/Taiyuan University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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