Learn to Differ: Sim2Real Small Defection Segmentation Network

1 code implementation • 7 Mar 2021 • Zexi Chen, Zheyuan Huang, Yunkai Wang, Xuecheng Xu, Yue Wang, Rong Xiong

In this paper, we propose the network SSDS that learns a way of distinguishing small defections between two images regardless of the context, so that the network can be trained once for all.

Collaborative Recognition of Feasible Region with Aerial and Ground Robots through DPCN

no code implementations • 1 Mar 2021 • Yunshuang Li, Zheyuan Huang, Zexi Chen, Yue Wang, Rong Xiong

Taking the aerial robots' advantages of having large scale variance of view points of the same route which the ground robots is on, the collaboration work provides global information of road segmentation for the ground robot, thus enabling it to obtain feasible region and adjust its pose ahead of time.

Road Segmentation

ZJUNlict Extended Team Description Paper for RoboCup 2019

1 code implementation • 22 May 2019 • Zheyuan Huang, Lingyun Chen, Jiacheng Li, Yunkai Wang, Zexi Chen, Licheng Wen, Jianyang Gu, Peng Hu, Rong Xiong

For the Small Size League of RoboCup 2018, Team ZJUNLict has won the champion and therefore, this paper thoroughly described the devotion which ZJUNLict has devoted and the effort that ZJUNLict has contributed.

Robotics 68T40