harunkurtdev

harunkurtdev's Stars

• felixpalmer/procedural-gl-js

  Mobile-first 3D mapping engine with emphasis on user experience

  Language:JavaScript1.3k85

• maptalks/maptalks.three

  A maptalks layer to render with three.js.

  Language:TypeScript582132

• Bunkerbewohner/threejs-hex-map

  A simple 3D hexagonal terrain map based on three.js

  Language:TypeScript10928

• mert2m/nodejs-restapi-for-Heroku

  NodeJs Basic REST API for Heroku

  Language:JavaScript1

• anthonycorletti/firestore-fastapi

  FastAPI with Google Cloud Firestore.

  Language:Python476

• fujitatomoya/ros_k8s

  Kuberenetes / ROS&ROS2 Cluster Samples

  Language:HTML19630

• dottantgal/ROS2_learning

  A useful collection of CPP and PYTHON examples to learn ROS2 from zero

  Language:C++46254

• ychikawa/StereoTriangulation

  Language:Python1

• PacktPublishing/Expert-Cpp-Programming

  Expert C++ Programming, published by Packt

  Language:Makefile136

• tech-jamara/SimpleDjangoPortfolio

  🔥Simple Python Django Portfolio

  Language:CSS4822

• guduzhe123/offboard_multi

  Language:C++115

• Nebula4869/YOLOv5-ncnn-arm

  An ncnn implementation of YOLOv5 on ARM devices, capable of using GPU to accelerate inference

  Language:C++276

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook17k4.2k

• onlytailei/CppRobotics

  cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control

  Language:C++1.9k505

• rcgc/RoboticVisionCourse

  Robotic Vision course exercises

  Language:C++1

• keineahnung2345/digital-image-processing-cpp

  cpp implementation for algorithms in the book "digital image processing and computer vision"("数字图像处理与机器视觉-Visual C++与Matlab实现")

  Language:C++187

• hzwer/Awesome-Optical-Flow

  This is a list of awesome paper about optical flow and related work.

  49433

• TareDevarsh/distance_fromcamera

  Language:Python3420

• ContentsViewer/OpenCV-StereoCamera

  Language:Python51

• rishabsingh3003/ardupilot_depthai_scripts

  Contains examples for DepthAI integration with ArduPilot

  Language:C3621

• Open-UAV/samples

  Language:Python37

• aarondigu/ROS-with-PX4-SITL-for-Beginners

  This repository is created as a guide for beginners who want to use the PX4 SITL with ROS and Gazebo. It is recommended to use it in a computer with minimum intel core i5 and 8 GB of RAM.

  Language:C++3

• IntelligentRoboticsLabs/gb_visual_detection_3d

  Language:C++8932

• mtrebi/catkin_ws

  Bug0 navigation algorithm in a Turtlebot 2.0 to move from A to B avoiding obstacles

  Language:Python11

• hoverboard-robotics/hoverboard-driver

  ROS hardware driver for UART-controlled hoverboard

  Language:C++10154

• anuppari/formation_control

  ROS package for decentralized formation control with obstacle avoidance and connectivity maintenance

  Language:Python216

• YugAjmera/navros_pkg

  ROS Package for Autonomous Navigation for Differential drive robots

  Language:CMake5113

• matlabbe/rtabmap_drone_example

  Example of using move_base with mavros/px4 and rtabmap visual SLAM

  Language:C++10324

• szebedy/autonomous-drone

  This repository intends to enable autonomous drone delivery with the Intel Aero RTF drone and PX4 autopilot. The code can be executed both on the real drone or simulated on a PC using Gazebo. Its core is a robot operating system (ROS) node, which communicates with the PX4 autopilot through mavros. It uses SVO 2.0 for visual odometry, WhyCon for visual marker localization and Ewok for trajectoy planning with collision avoidance.

  Language:C++16773

• atb033/multi_agent_path_planning

  Python implementation of a bunch of multi-robot path-planning algorithms.

  Language:Python1.2k267