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SLAM-application
LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI application and comparison on Gazebo and real-world datasets. Installation and config files are provided.vins-application
VINS-Fusion, VINS-Fisheye, OpenVINS, EnVIO, ROVIO, S-MSCKF, ORB-SLAM2, NVIDIA Elbrus application of different sets of cameras and imu on different board including desktop and Jetson boardsros-yolo-sort
YOLO v3, v4, v5, v6, v7 + SORT tracking + ROS platform. Supporting: YOLO with Darknet, OpenCV(DNN), OpenVINO, TensorRT(tkDNN). SORT supports python(original) and C++. (Not Deep SORT)FAST-LIO-SAM-QN
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on Quatro and Nano-GICPFAST-LIO-SAM
a SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on LIO-SAM paperFAST-LIO-Localization-QN
A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching methodgazebo_maps
Self-made Gazebo maps and models for publicFAST-LIO-SAM-SC-QN
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on ScanContext, Quatro, and Nano-GICPoakd-ros-simple
OAK-D (OpenCV AI Kit camera) ROS simple codes with C++TensorRT_YOLOv9_ROS
(ROS, C++) YOLOv9 detection using TensorRTTROT-Q
ASCC2022 - TROT-Q: TRaversability and Obstacle aware Target tracking system for Quadruped robotsexploration-algorithms
[Docker provided] How to build, install and run open-source exploration algorithmsvins-fusion-gpu-no-ros
VINS-Fusion's non-ROS version (GPU version)FAST-LIO-Localization-SC-QN
A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method, and with ScanContext as a loop candidate detection methodPS4_Joystick_teleop_Mobile_Robots_ROS_Python
Simple Joystic_teleop_Mobile_Robots_ROS_Python using PS4 from SONYieee_uav_2022
IEEE UAV Competition 2022 - Low Power Computer Vision Challenges (LPCVC): ChaseROLAND
ROLAND: Robust Landing of UAV on Moving Platform using Object Detection and UWB based Extended Kalman Filterutm_to_pose_path
sensor_msgs/NavSatFix to geometry_msgs/PoseStamped and nav_msgs/Pathtkdnn-ros
(ROS) YOLOv3, v4, v7 detection + Shelfnet semantic segmentation with TensorRT, utilizing tkDNNHC-SR04-UltraSonicSensor-ROS-RaspberryPi
HC-SR04-UltraSonicSensor-ROS-RaspberryPi using Pythontf_to_trajectory
tf_to_trajectory: Convert ROS topics to nav_msgs/Path trajectory using simple rospy code for rvizCEO-MLCPP
CEO-MLCPP: Control Efficient and Obstacle-aware Multi-Layer Coverage Path Planner for 3D reconstruction with UAVsdrone_auto_bag_record
MAVROS-PX4 drone auto ROS bag record on / off according to arming stateutility_codes
A collection of various utility codes coded myselfkhnp_competition2021
KHNP Robot Competition 2021 / Several Missions with Autonomous Quadruped Robot with Gripping Arm!husky
MATLAB-ROS and Python-ROS to control the Husky_Clearpath with Velodyne-VLP16 LiDAR Sensor and ZED stereo cameraKalmanFilter_Attitude
Animated Graph on Python code for LKF,EKF, and only accelerometer used attitude estimationOpencv_tutorial_Matlab_and_python
Using Opencv tutorial and instructions for installing Opencv for MATLAB(Mexopencv)orb-slam2-modified
flightgoggles_angle_controller
flightgoggles_angle_controllerturtlebot3
ROS-MATALB and ROS-Python for Turtlebot3_burger, mobile robot from Robotiscpp-reconstruction-application
Build and applying Coverage Path Planners for 3D reconstruction with UAVskhnp_competition2022
KHNP Robot Competition 2022: KVRC2022 Autonomous drone challengeS-MSCKF-application
S-MSCKF from https://github.com/KumarRobotics/msckf_vio - applicationflightgoggles
Forked from http://flightgoggles.mit.edu. Coded by great friend, Winter-Guerra, when he was in MIT!AllowanceRobotics-Gazeboyz
Project page of AllowanceRobotics-Gazeboyzturtlebot2
ROS-MATLAB and ROS-Python for Turtlebot2, mobile robot with ROSLove Open Source and this site? Check out how you can help us