Machine Vision and Intelligence for Urban Scene Understanding

Speaker: 範睿

範睿🔮,20157月獲哈爾濱工業大學工學學士學位🧜🏽‍♀️;20159月赴英國布裏斯托大學直博並於20186月獲博士學位🤾🏼‍♂️。20187月🙍🏻‍♂️,加入香港科技大學機器人研究所🫲🏽❇️,任博士後副研究員。20202月加入美國加州大學聖地亞哥分校、任博士後研究員。20209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


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