黄国权教授：视觉-惯性感知、估计与学习 | AI2000直播 明天 10:00！

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黄国权

特拉华大学副教授

美团资深科学家

IEEE高级会员和美国SigmaXi荣誉科学会会员。博士毕业于美国明尼苏达大学计算机系，博士后出站于麻省理工学院(MIT CSAIL)。主要研究方向为机器人导航感知，状态估计，视觉惯导系统和计算机三维视觉。在国际顶级学术期刊和学术会议上发表学术论文百篇有余。

主题：

Visual-Inertial Sensing, Estimation and Learning

简介：

As cameras and IMUs are becoming ubiquitous, visual-inertial systems for spatial perception, in analogy to biological visual-vestibular neural systems, hold great potential in a wide range of applications from extended reality (XR) to autonomous robots. While visual-inertial navigation systems (VINS), alongside with SLAM, have witnessed tremendous progress in the past decade, yet certain critical aspects in the design of visual-inertial systems remain poorly explored, hindering the widespread deployment of these systems in practice. In this talk, he will present some recent research efforts of his group on advancing the state of the art of visual-inertial sensing, navigation and perception, including consistent and efficient 3D motion tracking and scene understanding. Many of the codebases have been open sourced to promote visual-inertial systems, thus broadly benefiting the community.