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)
机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑发布了关于人工智能的新研究结果。根据NewsRx记者在中华人民共和国北京的新闻报道，研究表明，"为了解决动态环境下使用CL Assical Semantic Simulation and Mapping(SLAM)算法所展示的红色UCED定位精度和不完全地图构建的挑战，本研究引入了一种基于直接稀疏里程(DSO)的动态场景SLAM技术，并结合实例分割和视频完成算法。"本研究的资助者包括国家自然科学基金。
Abstract
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.
Key words
Beijing Institute of Technology/Beijing/People’s Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning
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