li9616

@li9616

li9616 暂无简介

所有 个人的 我参与的
Forks 暂停/关闭的

    li9616/PL-VIO

    monocular visual inertial system with point and line features

    li9616/lio-mapping

    Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)

    li9616/nanomsg

    nanomsg library

    li9616/se2lam

    Visual-Odometric On-SE(2) Localization and Mapping (ICRA 2019)

    li9616/libMultiRobotPlanning

    Library with search algorithms for task and path planning for multi robot/agent systems

    li9616/mp2p_icp

    Multi primitive-to-primitive (MP2P) ICP algorithms in C++

    li9616/nonpersistent_voxel_layer

    ROS drop in replacement to the voxel layer which does not persist readings through iterations when ray tracing or map maintenance is undesirable

    li9616/quickmcl

    QuickMCL - Monte Carlo localisation for ROS

    li9616/hybrid-astar-planner

    Hybrid A* Path Planner

    li9616/hector_calibration

    ROS packages related to calibration of robots and subsystems (cameras, LIDAR, kinematics)

    li9616/srrg2_slam_interfaces

    Plug-and-Play SLAM core repository. Atomic and compound SLAM modules

    li9616/Anime4K

    A High-Quality Real Time Upscaler for Anime Video

    li9616/GCNv2_SLAM

    Real-time SLAM system with deep features

    li9616/DynaSLAM

    DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups

    li9616/face_recognition

    The world's simplest facial recognition api for Python and the command line

    li9616/camera_lidar_calibration_v2

    ROS VERSION: A tool used for calibrate 2D laser range finder (LRF) and camera.version1:https://github.com/TurtleZhong/camera_lidar_calibration

    li9616/LightNet

    LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

    li9616/openpose

    OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation

    li9616/apc-vision-toolbox

    MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

搜索帮助