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Jun Konno,Yoshinobu Ando 제어로봇시스템학회 2022 제어로봇시스템학회 국제학술대회 논문집 Vol.2022 No.11
In recent years, robots have been developed that can move autonomously in human environments such as restaurants and airports. For such autonomous mobility, it is important to create a map in advance, and a typical example is Simultaneous Localization and Mapping (SLAM). We created a 3D perception filter that is capable of detecting and eliminating moving point clusters from the input point cloud taken in an indoor environment. In this study, we propose a system that detects moving objects based on camera image recognition and uses the results to construct a more accurate map by minimizing the influence of pedestrians.
An era of single-cell genomics consortia
Yoshinari Ando,Andrew Tae-Jun Kwon,Jay W. Shin 생화학분자생물학회 2020 Experimental and molecular medicine Vol.52 No.-
The human body consists of 37 trillion single cells represented by over 50 organs that are stitched together to make us who we are, yet we still have very little understanding about the basic units of our body: what cell types and states make up our organs both compositionally and spatially. Previous efforts to profile a wide range of human cell types have been attempted by the FANTOM and GTEx consortia. Now, with the advancement in genomic technologies, profiling the human body at single-cell resolution is possible and will generate an unprecedented wealth of data that will accelerate basic and clinical research with tangible applications to future medicine. To date, several major organs have been profiled, but the challenges lie in ways to integrate single-cell genomics data in a meaningful way. In recent years, several consortia have begun to introduce harmonization and equity in data collection and analysis. Herein, we introduce existing and nascent single-cell genomics consortia, and present benefits to necessitate single-cell genomic consortia in a regional environment to achieve the universal human cell reference dataset.