讲座题目：Advanced 3D perception for autonomous mobile systems自主移动机器人的先进三维感知
讲座时间：2016年3月29日（周二）13：30
讲座地点：科研楼322室
主讲人：Laurent Kneip 博士
Laurent Kneip is a DECRA-fellow, senior researcher, and lecturer within the Research School of Engineering at the Australian National University, where he collaborates with Prof Richard Hartley and Prof Hongdong Li. He owns a PhD degree from ETH Zurich, where he worked under the supervision of Prof Roland Siegwart and Prof Marc Pollefeys. He is an expert in geometric computer vision, and his work aims at enabling autonomous systems and mobile applications to use cameras for real-time 3D perception of the environment. His research interests include visual odometry, Simultaneous Localization and Mapping (SLAM) and structure-from-motion with single and multi-camera systems, as well as the efficient solution of the more fundamental, underlying algebraic geometry problems. He published more than 30 papers at major international conferences in computer vision and robotics, and he is the main author of the open-source computer vision libraries OpenGV and polyjam.
Laurent Kneip博士是澳大利亚研究委员会（ARC）卓越青年研究奖（DECRA）获得者，高级研究员，在澳大利亚国立大学工程研究院与著名学者Richard Hartley教授和李宏东教授一起工作。在苏黎世联邦理工大学获博士学位，师从著名学者Marc Pollefeys教授和Roland Siegwart教授，是几何计算机视觉专家，他的研究目标是通过摄像机让自主移动机器人实时感知周围3D环境，研究方向包括视觉计程、同步定位与地图构建、基于多摄像机的从运动恢复结构、以及一些代数几何基础问题的有效求解方法。他在计算机视觉和机器人领域的主要国际会议和期刊上发表论文30余篇，是开源软件库OpenGV 和polyjam的主要作者。
内容摘要：
The field of computer vision has been making enormous progress these recent years. With many of the fundamental problems considered solved, we now need to start thinking about where to go next, and how all these capabilities can be re-applied to interesting problems in and around autonomous mobile systems. In this talk, I will present some of my most recent contributions to the field of visual Simultaneous Localization and Mapping (SLAM), as well as an outlook onto what I believe to be interesting future research opportunities towards the next-level 3D perception layer for intelligent systems.
近年来计算机视觉领域已取得很大进展，很多基础问题已得到解决，现在需要开始考虑下一步的发展，以及如何将理论应用到移动机器人系统中。这次讲座将介绍在基于视觉的同步定位与地图构建（Visual SLAM）方面的一些新近研究成果，以及智能机器人系统下一3D感知层中的一些待研究的有趣问题。
