KJ-Falloutlast's Stars
ZHOUYI1023/awesome-radar-perception
A curated list of radar datasets, detection, tracking and fusion
JokerJohn/Cloud_Map_Evaluation
Point cloud map evaluation library for the FusionPortable dataset. Metrics include Mean Map Entropy (MME), RMSE, Accuracy(mean error), Precision(standard deviation), completeness(overlap ratio), chamfer distance and F1-score at all levels of 1/2/5/10/20cm.
i2Nav-WHU/evaluate_odometry
Scripts for Odometry Evaluation in SLAM
pamela-project/slambench
SLAM performance evaluation framework
michaelczhou/evaluation_tools
Some tools for the evaluation of odometry and SLAM.
RoboFeng/RI-LIO
Reflectivity Image Assisted Tightly-Coupled LiDAR-Inertial Odometry
ethz-asl/COIN-LIO
bella-jy/mmEMP
chichengcn/gici-open
GNSS/INS/Camera Integrated Navigation Library
SJTU-ViSYS/Ground-Fusion
Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases (ICRA2024)
lewisjiang/ops
[ICRA'24] "A Two-step Nonlinear Factor Sparsification for Scalable Long-term SLAM Backend"
tiev-tongji/LOG-LIO2
A LiDAR-Inertial Odometry with Efficient Uncertainty Analysis.
tiev-tongji/LOG-LIO
A LiDAR-Inertial Odometry with Efficient Local Geometric Information Estimation
EmilioOlivastri/IPC
IPC: Incremental Probabilistic Consensus-based Consistent Set Maximization for SLAM Backends
jianzhuozhuTHU/MPC-D-CBF
The code will soon be open source.
hku-mars/LiDAR_IMU_Init
[IROS2022] Robust Real-time LiDAR-inertial Initialization Method.
YWL0720/I2EKF-LO
[IROS 2024] I2EKF-LO: A Dual-Iteration Extended Kalman Filter based LiDAR Odometry
ETH-PBL/NanoSLAM
NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots
bdaiinstitute/vlfm
The repository provides code associated with the paper VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation (ICRA 2024)
KTH-RPL/dufomap
[RA-L'24] DUFOMap: Efficient Dynamic Awareness Mapping
KJ-Falloutlast/lidar-sync-mimics-gps
Open-Source LiDAR Time Synchronization System by Mimicking GPS-clock
rpng/MINS
An efficient and robust multisensor-aided inertial navigation system with online calibration that is capable of fusing IMU, camera, LiDAR, GPS/GNSS, and wheel sensors. Use cases: VINS/VIO, GPS-INS, LINS/LIO, multi-sensor fusion for localization and mapping (SLAM). This repository also provides multi-sensor simulation and data.
cvg/nice-slam
[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
PRBonn/PIN_SLAM
📍PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency [TRO' 24]
PRBonn/SHINE_mapping
🌟 SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations (ICRA 2023)
SyllogismRXS/gazebo_terrain_tutorial
An example of loading custom terrain and a husky robot into Gazebo
dhchung/nv_lio
LiDAR-Inertial Odometry using Normal Vectors Towards Robust SLAM in Multifloor Environments
sychaichangkun/ROS-Academy-for-Beginners
**大学MOOC《机器人操作系统入门》代码示例 ROS tutorial
HuangCongQing/ROS
🔥ROS(c++)机器人操作系统 学习(写于2020年夏)
LTU-RAI/gazebo_cave_world
Cave world