• 1
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xiazhenyu/PatchmatchNet

• 1
• 0
• 3

xiazhenyu/ORBSLAM2_detailed_comments

• 1
• 0
• 1290

xiazhenyu/machinelearning_homework forked from 飞行器智能感知与控制/machinelearning_homework

机器学习作业与报告

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• 0
• 500

xiazhenyu/machinelearning_notebook forked from 飞行器智能感知与控制/machinelearning_notebook

机器学习教程

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xiazhenyu/OrbbecSDK_ROS1

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• 95

xiazhenyu/volans forked from Volans/volans

基于PX4、ROS的无人机无人车上层应用开发

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xiazhenyu/PICMake forked from zdzhaoyong/PICMake

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• 1

xiazhenyu/Cluster_UAV_cooperative_positioning forked from 张一竹/Cluster_UAV_cooperative_positioning

根据本人毕业设计——“集群无人机协同定位”，所整理的仓库，包含了代码和相关内容。

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xiazhenyu/ORB_SLAM2_interpret forked from 仙人/ORB_SLAM2_interpret

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xiazhenyu/Fast-Racing

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• 2

xiazhenyu/MinimumSnap-Trajectory-Generation-px4 forked from MrZhaosx/MinimumSnap-Trajectory-Generation-px4

Using MinimumSnap to generate trajectory for Px4

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• 3

xiazhenyu/resources-fonts forked from 风丶城/resources-fonts

Some fonts

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• 4

xiazhenyu/mav_voxblox_planning forked from 首飞/mav_voxblox_planning

要学习无人机规划算法，首先要理解地图的表示形式，个人认为这是非常关键的一步。该代码包括了Voxblox地图表示、全局规划、局部规划、路径平滑等算法，对于规划初学者来说是一个很好的学习资料。 论文链接: [1] Voxblox: Incremental 3D Euclidean Signed Distance Fields for On-Board MAV Planning [2] Continuous-Time Trajectory Optimization for Online UAV Replanning [3] Receding horizon path planning for 3D exploration and surface inspection [4] Safe Local Exploration for Replanning in Cluttered Unknown Environments for Micro-Aerial Vehicles [5] Sparse 3D Topological Graphs for Micro-Aerial Vehicle

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xiazhenyu/px4_fast_planner

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• 403

xiazhenyu/XTDrone forked from 肖昆/XTDrone

基于PX4、ROS和Gazebo的无人机通用仿真平台

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xiazhenyu/Fast-Planner

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xiazhenyu/ORB_SLAM3

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• 341

xiazhenyu/learn_programming forked from 飞行器智能感知与控制/learn_programming

编程练习指导与示例

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xiazhenyu/colmap_detailed_comments forked from fengfeng/colmap_detailed_comments

学习Colmap的源码，并且对colmap的源码进行注释

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xiazhenyu/learn_slam