YC's repositories
Depth-VO-Feat
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction
stereo_sparse_depth_fusion
Repository for "Real Time Dense Depth Estimation by Fusing Stereo with Sparse Depth Measurements" | OpenCV, C++
dense-sptam
Dense S-PTAM
flame
FLaME: Fast Lightweight Mesh Estimation
glim
GLIM: versatile and extensible range-based 3D localization and mapping framework
hdl_graph_slam
3D LIDAR-based Graph SLAM
interactive_slam
Interactive Map Correction for 3D Graph SLAM
iscloam
Intensity Scan Context based full SLAM implementation for autonomous driving.
lidar_camera_calibration
ROS package to find a rigid-body transformation between a LiDAR and a camera
lio-mapping
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
LIO-SAM
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
msckf_mono
Monocular MSCKF ROS Node
openvslam
OpenVSLAM: A Versatile Visual SLAM Framework
scancontext
Global LiDAR descriptor for place recognition and long-term localization
sparse-to-dense.pytorch
PyTorch Implementation of ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image"
ss_segmentation
Semantic Segmentation with PyTorch and ROS for Open Vision Computer or Nvidia TX2 | Based on ERFNet
stereo_msckf
Python implementation of Multi-State Constraint Kalman Filter (MSCKF) for Vision-aided Inertial Navigation.
uwb-localization
Accurate 3D Localization for MAV Swarms by UWB and IMU Fusion.
warehouse_simulation_toolkit
A simulation toolkit for ground robot AGV in warehouse environment, including robot navigation and localization