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University of California, Riverside
- Riverside, CA, USA
- https://hanzheteng.com/
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OBS Studio - Free and open source software for live streaming and screen recording
[RAL' 2025] MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.
rosbag2 plugin for replaying ros1 version2 bag files
Library for reading & writing the E57 file format
[RA-L 2024] In Defense of LiDAR-Only Odometry Using an Effective Continuous-Time Trajectory
GLIM: versatile and extensible range-based 3D localization and mapping framework
An open-source remote desktop application designed for self-hosting, as an alternative to TeamViewer.
iG-LIO: An Incremental GICP-based Tightly-coupled LiDAR-inertial Odometry
An efficient and consistent bundle adjustment for lidar mapping
[CVPR 2023] Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting
[CVPR2020] Learning multiview 3D point cloud registration
[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.
Draw a mockup and generate html for it
[ICRA2024] Implementation of A Fast, Lightweight, and Dynamic Octree for Proximity Search
Fast radius neighbor search with an Octree (ICRA 2015)
Point-LIO algorithm for Unitree LiDAR products.
💎 🐳 A super customizable Jekyll theme for personal site, team site, blog, project, documentation, etc.
A registry of publicly available datasets on AWS
Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations
Continuous-time lidar, radar, lidar-inertial, and radar-inertial odometry
C++ implementation of the Coherent Point Drift point set registration algorithm.
Pyramid Semantic Graph-based Global Point Cloud Registration with Low Overlap (IROS 2023)
Dynamic SLAM, Life-long SLAM Research(Lidar, Visual, Sensor Fusion etc.)
A curated list of point cloud registration.
[CVPR 2023, BSP] 3D Registration with Maximal Cliques
Mirror of the Basalt repository. All pull requests and issues should be sent to https://gitlab.com/VladyslavUsenko/basalt