首页|Beijing Institute of Technology Researchers Provide Details of New Studies and F indings in the Area of Machine Learning (DSOMF: A Dynamic Environment Simultaneo us Localization and Mapping Technique Based on Machine Learning)
Beijing Institute of Technology Researchers Provide Details of New Studies and F indings in the Area of Machine Learning (DSOMF: A Dynamic Environment Simultaneo us Localization and Mapping Technique Based on Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New study results on artificial intelligence have been published. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “To address the challenges of red uced localization accuracy and incomplete map construction demonstrated using cl assical semantic simultaneous localization and mapping (SLAM) algorithms in dyna mic environments, this study introduces a dynamic scene SLAM technique that buil ds upon direct sparse odometry (DSO) and incorporates instance segmentation and video completion algorithms.” Funders for this research include National Natural Science Foundation of China.
Beijing Institute of TechnologyBeijingPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine Learning
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