Robotics & Machine Learning Daily News2024,Issue(Apr.15) :63-64.

Recent Studies from University of Essex Add New Data to Computational Intelligen ce (Rstnet: Recurrent Spatial-temporal Networks for Estimating Depth and Ego-mot ion)

Robotics & Machine Learning Daily News2024,Issue(Apr.15) :63-64.

Recent Studies from University of Essex Add New Data to Computational Intelligen ce (Rstnet: Recurrent Spatial-temporal Networks for Estimating Depth and Ego-mot ion)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing - Computational Intelligence have been published. According to news reportin g out of Essex, United Kingdom, by NewsRx editors, researchstated, “Depth map a nd ego-motion estimations from monocular consecutive images are challenging tou nsupervised learning Visual Odometry (VO) approaches. This paper proposes a nove l VO architecture:Recurrent Spatial-Temporal Network (RSTNet), which can estima te the depth map and ego-motion frommonocular consecutive images.”

Key words

Essex/United Kingdom/Europe/Computati onal Intelligence/Emerging Technologies/Machine Learning/Unsupervised Learnin g/University of Essex

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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