Robotics & Machine Learning Daily News2024,Issue(Nov.26) :10-10.

New Data from University of Coimbra Illuminate Findings in Robotics (Pointnetpga p-slc: a 3d Lidar-based Place Recognition Approach With Segment-level Consistenc y Training for Mobile Robots In Horticulture)

科英布拉大学的新数据阐明了机器人学的发现(Pointnetpga P-slc:一种基于三维LIDAR的园艺移动机器人位置识别方法,具有分段级一致性训练)

Robotics & Machine Learning Daily News2024,Issue(Nov.26) :10-10.

New Data from University of Coimbra Illuminate Findings in Robotics (Pointnetpga p-slc: a 3d Lidar-based Place Recognition Approach With Segment-level Consistenc y Training for Mobile Robots In Horticulture)

科英布拉大学的新数据阐明了机器人学的发现(Pointnetpga P-slc:一种基于三维LIDAR的园艺移动机器人位置识别方法,具有分段级一致性训练)

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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-机器人的最新研究结果已经公布。根据消息来源来自葡萄牙科英布拉的NewsRx记者的研究表明,“基于3D LIDAR的位置识别”在园艺环境中仍然没有得到充分的开发,因为它们的存在带来了独特的挑战激光的半透性质。这种特性常常在激光雷达扫描中产生相邻行,导致描述符具有双重性,从而降低检索性能。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news originatingfrom Coimbra, Portugal, by NewsRx correspondents, research stated, “3D LiDAR-based place recognitionremains larg ely underexplored in horticultural environments, which present unique challenges due to theirsemi-permeable nature to laser beams. This characteristic often re sults in highly similar LiDAR scans fromadjacent rows, leading to descriptor am biguity and, consequently, compromised retrieval performance.”

Key words

Coimbra/Portugal/Europe/Emerging Tech nologies/Machine Learning/Nano-robot/Robotics/University of Coimbra

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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