Dong Kong's repositories
AirSLAM
🚀 AirVO upgrades to AirSLAM 🚀
badslam
Bundle Adjusted Direct RGB-D SLAM
BALM
An efficient and consistent bundle adjustment for lidar mapping
carla
Open-source simulator for autonomous driving research.
ct_icp
CT-ICP: Continuous-Time LiDAR Odometry
Dynamic-VINS
[RA-L 2022] RGB-D Inertial Odometry for a Resource-restricted Robot in Dynamic Environments
dynaVINS
DynaVINS : A Visual-Inertial SLAM for Dynamic Environments
floam
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
Kimera-Multi
Index repo for Kimera-Multi system
lamar-benchmark
Source code for the ECCV 2022 paper "Benchmarking Localization and Mapping for Augmented Reality".
LCDNet
PyTorch code for training LCDNet for loop closure detection in LiDAR SLAM. http://rl.uni-freiburg.de/research/lidar-slam-lc
GPRS_Survey
Benchmark for lidar and visual place recognition
LimSim
LimSim & LimSim++
LIO-SAM
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
LIO_SAM_6AXIS
LIO_SAM for 6-axis IMU and GNSS.
liw_oam
A LiDAR-inertial-wheel odometry and mapping system based on BA framework.
M-LOAM
Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration
M2DGR
M2DGR： a Multi-modal and Multi-scenario Dataset for Ground Robots
maplab
A Modular and Multi-Modal Mapping Framework
md_slam
MD-SLAM: Multi-cue Direct SLAM. Implements the first photometric LiDAR SLAM pipeline, that works withouth any explicit geometrical assumption. Universal approach, working independently for RGB-D and LiDAR.
NeRF-LOAM
[ICCV2023] NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping
r3live
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
S-FAST_LIO
A simplified implementation of FAST_LIO (with Chinese note)
scancontext
Global LiDAR descriptor for place recognition and long-term localization
SurroundOcc
[arxiv 2023] Multi-camera 3D Occupancy Prediction for Autonomous Driving
TPVFormer
An academic alternative to Tesla's occupancy network for autonomous driving.