5 papers
RadiusFPS: Efficient Farthest Point Sampling on CPUs and GPUs via Spherical Voxel Pruning
Ziyang Yu, Xiang Li, Qiong Chang +1
Point clouds are a primary sensory representation for robotic perception, underpinning LiDAR-based autonomous driving, simultaneous localization and mapping (SLAM), and navigation.…
A dynamic memory assignment strategy for dilation-based ICP algorithm on embedded GPUs
Qiong Chang, Weimin Wang, Junpei Zhong +1
This paper proposes a memory-efficient optimization strategy for the high-performance point cloud registration algorithm VANICP, enabling lightweight execution on embedded GPUs wit…
GRNND: A GPU-Parallel Relative NN-Descent Algorithm for Efficient Approximate Nearest Neighbor Graph Construction
Xiang Li, Qiong Chang, Yun Li +1
Relative Nearest Neighbor Descent (RNN-Descent) is a state-of-the-art algorithm for constructing sparse approximate nearest neighbor (ANN) graphs by combining the iterative refinem…
StereoVAE: A lightweight stereo-matching system using embedded GPUs
Qiong Chang, Xiang Li, Xin Xu +3
We present a lightweight system for stereo matching through embedded GPUs. It breaks the trade-off between accuracy and processing speed in stereo matching, enabling our embedded s…
Faster than Fast: Accelerating Oriented FAST Feature Detection on Low-end Embedded GPUs
Qiong Chang, Xinyuan Chen, Xiang Li +2
The visual-based SLAM (Simultaneous Localization and Mapping) is a technology widely used in applications such as robotic navigation and virtual reality, which primarily focuses on…