复杂气象条件下的机器人视觉

doi:10.16451/j.cnki.issn1003-6059.201901004

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Abstract This paper systematically introduces the research achievements of modeling and removal algorithms for rain, snow and fog in recent years from authors' team. It includes a depth estimation and scattering removal algorithm based on near-filed illumination, a fog removal algorithm based on far parallel illumination and region optimization, and a snowflake removal algorithm based on low-rank decomposition as well as a raindrop & snowflake removal algorithm based on matrix decomposition.

Received: 22 September 2018

ZTFLH:

TP 391.41

Fund:Supported by National Natural Science Foundation of China(No.91648118,61473280)

About author:: TIAN Jiandong, Ph.D., professor. His research interests include robot vision.LIU Lianqing, Ph.D., professor. His research interests include robot perception.

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Cite this article:

TIAN Jiandong,LIU Lianqing. Robot Vision under Complex Weather Conditions[J]. , 2019, 32(1): 24-35.

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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.201901004 OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2019/V32/I1/24

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