- Shenyang, China
- https://yaepiii.github.io/
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Ros implementation of "Dynamic Object Detection in Range data using Spatiotemporal Normals".
Self-supervised Deep LiDAR Odometry for Robotic Applications
Release for Improved Denoising Diffusion Probabilistic Models
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Deep Learning Book Chinese Translation
CVAT: A Curved Voxel Association Triangle Descriptor for Universal LiDAR Place Recognition
This is the source code of "DVMM: A Dual-View Combination Descriptor for Multi-Modal LiDARs Online Place Recognition"
SGT-LLC: LiDAR Loop Closing Based on Semantic Graph with Triangular Spatial Topology
A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor
A real-time multifunctional Lidar SLAM package.
A computationally efficient and convenient toolkit of iterated Kalman filter.
ESKF-based IMU and GPS fusion localization
gisbi-kim / FAST_LIO_SLAM
Forked from hku-mars/FAST_LIOLiDAR SLAM = FAST-LIO + Scan Context
Fusing GNSS and wheel measurements based on FAST-LIO and IKFOM
ROS2 / FAST_LIO / PGO / Online Re-Localization / Consistent Map with BA or HBA
Postgraduate Thesis: fast_lio_sam + dynamic removal (T-GRS 2024) + multi-session mapping (ICRA 2022 Kim) + object-level update + online relocalization (ICRA 2025) + real-world application (MD-LVIO)
This is a unofficial fork of OpenVSLAM (https://github.com/xdspacelab/openvslam)
An optimization-based multi-sensor state estimator
An open source platform for visual-inertial navigation research.
Visual-inertial-wheel fusion odometry, better performance in scenes with drastic changes in light
Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases (ICRA2024)
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
Basic Kalman filter implementation in C++ using Eigen