首页|New Findings on Robotics and Automation Described by Investigators at Commonwealth Scientific and Industrial Research Organisation (CSIRO) (Geoadapt: Self-supervised Test-time Adaptation In Lidar Place Recognition Using Geometric Priors)
New Findings on Robotics and Automation Described by Investigators at Commonwealth Scientific and Industrial Research Organisation (CSIRO) (Geoadapt: Self-supervised Test-time Adaptation In Lidar Place Recognition Using Geometric Priors)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Robotics - Robotics and Automation. According tonews reporting from Pullenvale, Australia, by NewsRx journalists, research stated, “LiDAR place recognitionapproaches based on deep learning suffer from significant performance degradation when there is a shiftbetween the distribution of training and test datasets, often requiring re-training the networks to achievepeak performance. However, obtaining accurate ground truth data for new training data can be prohibitivelyexpensive, especially in complex or GPS-deprived environments.”
PullenvaleAustraliaAustralia and New ZealandRobotics and AutomationRoboticsCommonwealth Scientific and Industrial Research Organisation (CSIRO)
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