Pinned Repositories
airlearning-ue4
Environment Generator for Air Learning Project. This version is build on top of UE4 game engine
clover
ROS-based framework and RPi image to control PX4-powered drones 🍀
Drone-Hover-RL
A hover system for Microsoft AirSim using reinforcement learning (Q-learning and SARSA)
gym-pybullet-drones
PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control
gymfc
A universal flight control tuning framework
Image_Processing-Computer_Vision
MAVBench
Simulator + benchmark suite for Micro Aerial Vehicle design.
mavros_apriltag_tracking
This package implements methods to enable a PX4-powered multi-rotor to track a moving vehicle.
MAVSDK-Python
MAVSDK client for Python.
Pattern_Recognition-ML
phew-phew's Repositories
phew-phew/airlearning-ue4
Environment Generator for Air Learning Project. This version is build on top of UE4 game engine
phew-phew/clover
ROS-based framework and RPi image to control PX4-powered drones 🍀
phew-phew/Drone-Hover-RL
A hover system for Microsoft AirSim using reinforcement learning (Q-learning and SARSA)
phew-phew/gym-pybullet-drones
PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control
phew-phew/gymfc
A universal flight control tuning framework
phew-phew/Image_Processing-Computer_Vision
phew-phew/MAVBench
Simulator + benchmark suite for Micro Aerial Vehicle design.
phew-phew/mavros_apriltag_tracking
This package implements methods to enable a PX4-powered multi-rotor to track a moving vehicle.
phew-phew/MAVSDK-Python
MAVSDK client for Python.
phew-phew/Pattern_Recognition-ML
phew-phew/PX4-Autopilot
PX4 Autopilot Software
phew-phew/PX4-Devguide
PX4 Devguide GitBook
phew-phew/PythonRobotics
Python sample codes for robotics algorithms.
phew-phew/RL-Quadcopter
Udacity Deep Learning Nano Degree Project : Deep Reinforcement Learning Based Quadcopter controller
phew-phew/ROS-Planning
phew-phew/touchlessClockin_project
This is a computer vision based project developed admist the pandemic situation where touchless systems are required everywhere. It uses face recognition and deep learning to identify employees/members of an institution to check in or check out of the system without touching, It uses voice interaction and has a sophisticated interface done with opencv. It is also integrated with google's firebase which is a cloud managed structureless database which stores all the user data, time stamped images for security and face descriptions. A UI for the administrator is also developed using NodeRed platform which can be used to monitor the user checkin activities.