Pinned Repositories
Behavioral-Cloning-tensorflow
deep-learning example. keep car on the track from road photo using tensorflow.
Extended-Kalman-Filter
采用激光雷达和毫米波两种雷达，采用扩展卡尔曼滤波实现汽车的定位
GridBasedSweepCPP
full path plan refer AtsushiSakai/PythonRobotics
map_server_pcd
同时接收cloud点云和2d map两种topic进行存图，用于后续3d定位和对应2d地图的导航；
multi_target_navigation
在ros 下的movebase，多目标点连续导航设置
Path-Planning-Project
local planning generator on highway. It can change lane.
PCL_EuclideanClusterExtraction
采用pcl实现欧氏聚类提取example，采用ros实现
PID_control
a simple PID controller used for track middle of the road
Traffic-Sign-Classifier-tensorflow
this project used for classifying the traffic sign used deep-learning with tensorflow tool
v_odomtery
采用深度摄像机提供的点云数据（包括RGB信息），实现实时视觉里程计功能，为demo
wjjcdy's Repositories
wjjcdy/GridBasedSweepCPP
full path plan refer AtsushiSakai/PythonRobotics
wjjcdy/MVision
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
wjjcdy/CleaningRobot
Path planning and tracking using ROS
wjjcdy/2d_lidar_undistortion
A ros package used to correct motion distortion of a 2D LIDAR. 2D激光雷达运动畸变校正
wjjcdy/Advanced-Lane-Lines
wjjcdy/AWS_CodeBuild
wjjcdy/CANopen-STM32F1
基于CANfestival的CANopen协议在STM32F1系列单片机上的实现
wjjcdy/cartographer
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
wjjcdy/cartographer_ros
Provides ROS integration for Cartographer.
wjjcdy/cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/
wjjcdy/handsfree_ros_imu
wjjcdy/hdl_global_localization
wjjcdy/hdl_graph_slam
3D LIDAR-based Graph SLAM
wjjcdy/hdl_localization
Real-time 3D localization using a (velodyne) 3D LIDAR
wjjcdy/hector_slam
hector_slam contains ROS packages related to performing SLAM in unstructed environments like those encountered in the Urban Search and Rescue (USAR) scenarios of the RoboCup Rescue competition.
wjjcdy/LeGO-LOAM-BOR
LeGO-LOAM-BOR: optimizer Lidar Odometry and Mapping
wjjcdy/lili-om
LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
wjjcdy/open_karto-1
Catkinized ROS Package of the OpenKarto Library (LGPL3)
wjjcdy/orbslam3_ros
Easily work with ORB_SLAM3 in ROS
wjjcdy/python_excl
one example: excl data process with python
wjjcdy/realsense-ros
Intel(R) RealSense(TM) ROS Wrapper for D400 series, SR300 Camera and T265 Tracking Module
wjjcdy/rf2o_laser_odometry
Estimation of 2D odometry based on planar laser scans. Useful for mobile robots with innacurate base odometry. For full description of the algorithm, please refer to: Planar Odometry from a Radial Laser Scanner. A Range Flow-based Approach. ICRA 2016 Available at: http://mapir.isa.uma.es/mapirwebsite/index.php/mapir-downloads/papers/217
wjjcdy/rrt_exploration
A ROS package that implements a multi-robot RRT-based map exploration algorithm. It also has the image-based frontier detection that uses image processing to extract frontier points.
wjjcdy/SC-LeGO-LOAM
LiDAR SLAM: Scan Context + LeGO-LOAM
wjjcdy/SC-LIO-SAM
LiDAR-inertial SLAM: Scan Context + LIO-SAM
wjjcdy/self_driver_project
This is a simple self-driver project. The car could stop on front of the traffic light.
wjjcdy/SEMANTIC_VISUAL_SUPPORTED_ODEMETRY
semantic visual slam for monocular and stereo camera devices
wjjcdy/srf_laser_odometry
Robust Planar Odometry Based on Symmetric Range Flow and Multi-Scan Alignment
wjjcdy/teleop_twist_keyboard
ros cmd control used by keyboard
wjjcdy/vins-mono-self-improved-
an improved version of vins-mono