

Speaker: 範睿
範睿🔮,2015年7月獲哈爾濱工業大學工學學士學位🧜🏽♀️;2015年9月赴英國布裏斯托大學直博並於2018年6月獲博士學位🤾🏼♂️。2018年7月🙍🏻♂️,加入香港科技大學機器人研究所🫲🏽❇️,任博士後副研究員。2020年2月加入美國加州大學聖地亞哥分校、任博士後研究員。2020年9月入選上海市“海外高層次人才引進計劃”😛,加入同濟大學電子與與信息工程沐鸣、上海自主智能無人系統科學中心,任特聘研究員,碩/博士生導師。
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號沐鸣樓140