Speaker: 范睿

范睿，2015年7月获哈尔滨工业大学工学学士学位；2015年9月赴英国布里斯托大学直博并于2018年6月获博士学位。2018年7月，加入香港科技大学机器人研究所，任博士后副研究员。2020年2月加入美国加州大学圣地亚哥分校、任博士后研究员。2020年9月入选上海市“海外高层次人才引进计划”，加入同济大学电子与与信息工程学院、上海自主智能无人系统科学中心，任特聘研究员，硕/博士生导师。

Abstract:

With recent advances in machine/deep learning, computer vision techniques have been extensively applied for various driving scene understanding applications, ranging from autonomous driving to road condition assessment. This talk will first show a big picture of the SoTA computer vision algorithms applied for driving scene understanding. It will then introduce several accomplished driving scene understanding projects, including (a) 3-D information (disparity/depth, optical flow, surface normal, etc.) estimation, and (b) collision-free space, lane marking, road anomaly/damage detection, etc. The major contributions of these works have been published in top-tier conferences/journals.

Time:

11.18 13:00pm

Location:

1号学院楼140