Robotics & Machine Learning Daily News2024,Issue(Dec.6) :149-150.

Findings from Queensland University of Technology Update Understanding of Roboti cs (Improving Visual Place Recognition Based Robot Navigation By Verifying Local ization Estimates)

昆士兰理工大学的发现更新了对Roboti CS的理解(通过验证局部化估计改进基于视觉位置识别的机器人导航)

Robotics & Machine Learning Daily News2024,Issue(Dec.6) :149-150.

Findings from Queensland University of Technology Update Understanding of Roboti cs (Improving Visual Place Recognition Based Robot Navigation By Verifying Local ization Estimates)

昆士兰理工大学的发现更新了对Roboti CS的理解(通过验证局部化估计改进基于视觉位置识别的机器人导航)

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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-一项关于机器人的新研究现在已经开始。根据新闻报道在澳大利亚布里斯班,NewsRx Jo Urnalists的研究表明,“视觉位置识别(VPR)系统”我经常表现不佳,影响位置估计和后续机器人的“完整性”导航决策。以前,支持向量机分类器被用来监测VPR的完整性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Robotics is now availab le. According to news reporting originatingin Brisbane, Australia, by NewsRx jo urnalists, research stated, “Visual Place Recognition (VPR) systemsoften have i mperfect performance, affecting the ‘integrity’ of position estimates and subseq uent robotnavigation decisions. Previously, SVM classifiers have been used to m onitor VPR integrity.”

Key words

Brisbane/Australia/Australia and New Z ealand/Emerging Technologies/Machine Learning/Robot/Robotics/Queensland Uni versity of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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