首页|Findings from Queensland University of Technology Update Understanding of Roboti cs (Improving Visual Place Recognition Based Robot Navigation By Verifying Local ization Estimates)
Findings from Queensland University of Technology Update Understanding of Roboti cs (Improving Visual Place Recognition Based Robot Navigation By Verifying Local ization Estimates)
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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.”
BrisbaneAustraliaAustralia and New Z ealandEmerging TechnologiesMachine LearningRobotRoboticsQueensland Uni versity of Technology
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