Lu-jiang

HNUChangSha

Pinned Repositories

DeepVO
Deep Monocular Visual Odometry using PyTorch (Experimental)
Language:Python0 1 00
frustum-pointnets
Frustum PointNets for 3D Object Detection from RGB-D Data
Language:Python0 1 00
HighSpeedRacing
achieve DeepTraffic(MIT 6.S094: Deep Learning for Self-Driving Cars) by Tensorflow and pygame
Language:Python00
minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Language:Python0 1 00
ros_motion_planning
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pure Pursuit etc.
Language:C++00
shape-context-matching
get shape templates using shape contexts.
Language:C++0 0 00
Voronoi
Fast and lightweight implementation of the Fortune algorithm for generating Voronoi diagrams and Delaunay triangulations
Language:C++00
Voronoi-Based-Hybrid-Astar
Voronoi Based Hybrid A* for Tractor-Trailer Systems
Language:C++00
Yolo-Fastest
:zap: Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB
Language:C00

Lu-jiang/DeepVO
Deep Monocular Visual Odometry using PyTorch (Experimental)
Language:Python0 1 00
Lu-jiang/frustum-pointnets
Frustum PointNets for 3D Object Detection from RGB-D Data
Language:Python0 1 00
Lu-jiang/HighSpeedRacing
achieve DeepTraffic(MIT 6.S094: Deep Learning for Self-Driving Cars) by Tensorflow and pygame
Language:Python00
Lu-jiang/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Language:Python0 1 00
Lu-jiang/ros_motion_planning
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pure Pursuit etc.
Language:C++00
Lu-jiang/shape-context-matching
get shape templates using shape contexts.
Language:C++0 0 00
Lu-jiang/Voronoi
Fast and lightweight implementation of the Fortune algorithm for generating Voronoi diagrams and Delaunay triangulations
Language:C++00
Lu-jiang/Voronoi-Based-Hybrid-Astar
Voronoi Based Hybrid A* for Tractor-Trailer Systems
Language:C++00
Lu-jiang/Yolo-Fastest
:zap: Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB
Language:C00