Robotics & Machine Learning Daily News2024,Issue(Jan.31) :50-50.

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)

Robotics & Machine Learning Daily News2024,Issue(Jan.31) :50-50.

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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Abstract

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.”

Key words

Pullenvale/Australia/Australia and New Zealand/Robotics and Automation/Robotics/Commonwealth Scientific and Industrial Research Organisation (CSIRO)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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