3 papers
cs.RO2026
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.…
cs.DC2025
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…
cs.CV2025
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…