A hover system for Microsoft AirSim using reinforcement learning (Q-learning and SARSA)
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Updated
Dec 31, 2017 - Python
A hover system for Microsoft AirSim using reinforcement learning (Q-learning and SARSA)
Multi-rotor model identification and verification
Bridge for getting RGB images in ROS from the airsim simulation framework
Autonomous Drone for Object Tracking
Deep Q learning with AirSim Simulator
This is an example of navigating drones in AirSim simulator by multithreading
Recorded tracks visualization plugin built on Unreal Engine. Airsim compatible.
Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research
A System to allow integration of unsupported Radio Controllers with Microsoft AirSim Simulator for Unreal Engine 4 without any coding required, as well as provide general APIs for handling Real Drones.
GitHub for Deep Learning on Jetson TX2
The Control systems for on-board and off-board calculations for coordinations and manipulations and control of the Anemoi Drone for general behavior and use cases.
Airsim multirotor landing in two phases using deep reinforcement learning and deep learning
OpenAI Gym environment for AirSim
A basic implementation of imitation learning using Stable Baselines 2.10
AirSim ROS packages: modified ros wrapper for airsim, and some vslam related tools. (Mainly focused on Car SimMode)
Generates bounding boxes around objects in the scene in Airsim. Can also add noise to the bounding boxes to emulate a real object detector.
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