19 citations · 30 across the 10 of their papers we have counts for
4 papers · 1 filter
GeoGS-SLAM: Geometry-Only Gaussian Splatting for Dense Monocular SLAM
Lipu Zhou, Yaoyun Kang, Junxiang Pang +3
Dense visual SLAM is a fundamental problem in robotics. Recent advances in 3DGS have demonstrated its potential for dense SLAM. Existing 3DGS frameworks focus on both appearance an…
HyVGGT-VO: Hybrid Dense Visual Odometry With Classical VO and Feed-Forward Model
Junxiang Pan, Junxiang Pang, Lipu Zhou +2
Dense visual odometry (VO), which provides pose estimation and dense 3D reconstruction, serves as the cornerstone for applications ranging from robotics to augmented reality. Recen…
Point Cloud Change Detection With Stereo V-SLAM:Dataset, Metrics and Baseline
Zihan Lin, Jincheng Yu, Lipu Zhou +3
Localization and navigation are basic robotic tasks requiring an accurate and up-to-date map to finish these tasks, with crowdsourced data to detect map changes posing an appealing…
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…