Robotics & Machine Learning Daily News2024,Issue(Nov.22) :13-14.

Liaoning Technical University Researcher Details Research in Machine Learning (C ombining LiDAR, SAR, and DEM Data for Estimating Understory Terrain Using Machin e Learning-Based Methods)

辽宁工业大学研究员详细研究机器学习(结合激光雷达、合成孔径雷达和DEM数据,使用基于机器学习的方法估计底层地形)

Robotics & Machine Learning Daily News2024,Issue(Nov.22) :13-14.

Liaoning Technical University Researcher Details Research in Machine Learning (C ombining LiDAR, SAR, and DEM Data for Estimating Understory Terrain Using Machin e Learning-Based Methods)

辽宁工业大学研究员详细研究机器学习(结合激光雷达、合成孔径雷达和DEM数据,使用基于机器学习的方法估计底层地形)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于人工智能的新研究成果已经发表。据新闻报道来自中国人民代表大会阜新的报道,由NewsRx记者报道,研究称,"目前,地下地形的精确估计面临着许多技术障碍和挑战很难克服。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New study results on artificial intell igence have been published. According to newsreporting from Fuxin, People’s Rep ublic of China, by NewsRx journalists, research stated, “Currently,precise esti mation of understory terrain faces numerous technical obstacles and challenges t hat aredifficult to overcome.”

Key words

Liaoning Technical University/Fuxin/Pe ople’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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