Kinetis's starred repositories
ros2-performance
Framework to evaluate peformance of ROS 2
UrbanNavDataset
UrbanNav:An Open-sourced Multisensory Dataset for Benchmarking Positioning Algorithms Designed for Urban Areas
semi_elastic_lio
A LiDAR-inertial odometry utilizing semi-elastic LiDAR-inertial state estimation method
performance_test
Tool to test the performance of pub/sub based communication frameworks.
Ground-Fusion
Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases (ICRA2024)
lidar_situational_graphs
Repository to generate in real-time Situational Graphs (S-Graphs) for robot pose and map optimization using 3D LiDAR Data
lidar_degeneracy_datasets
LiDAR degeneracy dataset for LiDAR-radar-inertial fusion methods.
isaac_ros_visual_slam
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
VINS-RGBD-FAST
VINS-RGBD-FAST is a SLAM system based on VINS-RGBD. We do some refinements to accelerate the system's performance in resource-constrained embedded platforms, like HUAWEI Atlas 200DK, Raspberry Pi.
ros2_benchmarking
The project aims to provide a framework for ROS2 benchmarking. ROS2 communication characteristics can be evaluated on several axes, quickly and in an automated way. The project also serves to compare ROS2 to ROS1 and to pure implementations of DDS such as OpenSplice and others (for measuring ROS2 overhead). It is easy to setup and run thanks to the use of Docker.
MonoLaneMapping
Online Monocular Lane Mapping Using Catmull-Rom Spline (IROS 2023)
cpp17-execution-policy-practice-with-oneTBB
cpp17-execution-policy-practice-with-oneTBB
VINS-Fusion-Understood
完全可理解的VINS-Fusion:1.代码风格重构、2.全量靠谱注释、3.代码即文档、4.忠实于原代码;5.ROS解耦、6.状态量可视化、7.日志系统。