1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.IV2026
D-Compress: Detail-Preserving LiDAR Range Image Compression for Real-Time Streaming on Resource-Constrained Robots
Shengqian Wang, Chang Tu, He Chen
Efficient 3D LiDAR point cloud compression (LPCC) and streaming are critical for edge server-assisted robotic systems, enabling real-time communication with compact data representa…
cs.CV2023★ 1 cited
For A More Comprehensive Evaluation of 6DoF Object Pose Tracking
Yang Li, Fan Zhong, Xin Wang +4
Previous evaluations on 6DoF object pose tracking have presented obvious limitations along with the development of this area. In particular, the evaluation protocols are not unifie…