9 citations · 23 across the 6 of their papers we have counts for
6 papers
Rotational Symmetry based Object Pose Estimation from Point Clouds in the Absence of Known 3D Models
Weichen Dai, Ruixun Yu, Yangjie Tang +4
Object pose estimation is crucial to many industrial applications, with one example being automated spray painting using a robot. However, confidentiality concerns often limit acce…
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive Distillation
Chenyu You, Weicheng Dai, Yifei Min +2
Contrastive learning has shown great promise over annotation scarcity problems in the context of medical image segmentation. Existing approaches typically assume a balanced class d…
Enhance Accuracy: Sensitivity and Uncertainty Theory in LiDAR Odometry and Mapping
Zeyu Wan, Yu Zhang, Bin He +4
Currently, the improvement of LiDAR poses estimation accuracy is an urgent need for mobile robots. Research indicates that diverse LiDAR points have different influences on the acc…
A Multi-spectral Dataset for Evaluating Motion Estimation Systems
Weichen Dai, Yu Zhang, Shenzhou Chen +2
Visible images have been widely used for motion estimation. Thermal images, in contrast, are more challenging to be used in motion estimation since they typically have lower resolu…
Multi-Spectral Visual Odometry without Explicit Stereo Matching
Weichen Dai, Yu Zhang, Donglei Sun +2
Multi-spectral sensors consisting of a standard (visible-light) camera and a long-wave infrared camera can simultaneously provide both visible and thermal images. Since thermal ima…
RGB-D SLAM in Dynamic Environments Using Point Correlations
Weichen Dai, Yu Zhang, Ping Li +2
In this paper, a simultaneous localization and mapping (SLAM) method that eliminates the influence of moving objects in dynamic environments is proposed. This method utilizes the c…