Live briefing
Everything about AirSim
Robotics simulator
AirSim is an open-source, cross-platform simulator for drones, ground vehicles such as cars and various other objects, built on Epic Games’ proprietary Unreal Engine 4 as a platform for AI research. It is developed by Microsoft and can be used to experiment with deep learning, computer vision and reinforcement learning algorithms for autonomous vehicles. This allows testing of autonomous solutions without worrying about real-world damage. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: AirSimA 5-minute orientation
- Skim a recent paper: AirleakSIM: Using Cosys-AirSim to Benchmark Different Pressurized Airleak Localization StrategiesInfluential work since 2022
- Pick up a classic book: AirSIMThe most-reprinted book on the subject
- Read the landmark paper: Pix2Pix-Based Monocular Depth Estimation for Drones with Optical Flow on AirSimCited 28 times
- Go sideways: List of robotics softwareA closely related topic
- Go sideways: Robotics simulatorA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
No outline available.
🏆 Landmark papers (most cited)
Pix2Pix-Based Monocular Depth Estimation for Drones with Optical Flow on AirSim
E-DQN-Based Path Planning Method for Drones in Airsim Simulator under Unknown Environment
Introducing AIRSim: An Innovative AI-Driven Feedback Generation Tool for Supporting Student Learning
Airway Anatomy of AirSim High-fidelity Simulator
Digital twin of multi-model drone detection system on Airsim for RF and vision modalities
The Telford tonsillectomy tie trainer: an AirSim model modification
Modifications to the Airway Management Trainer Intubation Head for Training in Difficult Airway Recognition Through a Comparative Study With the Airsim® Intubation Head
Simulation for Development and Validation of Drone for Inspection Inside Boilers in High Temperature Thermal Power Plants Using AirSim
🆕 Influential since 2022
AirleakSIM: Using Cosys-AirSim to Benchmark Different Pressurized Airleak Localization Strategies
A Comparative Review of Autonomous Driving Simulation Platforms: Carla, AirSim, and Gazebo
IMPLEMENTASI DEEP LEARNING PADA SIMULASI AUTONOMOUS DRIVE MENGGUNAKAN AIRSIM
МЕТОДОЛОГІЯ СТВОРЕННЯ ФОРМАТИЗОВАНИХ НАБОРІВ ДАНИХ ЗА ДОПОМОГОЮ СИМУЛЯТОРА AIRSIM ТА ІНСТРУМЕНТІВ ЇХ АНОТАЦІЇ ТА АУГМЕНТАЦІЇ
基于CARLA–AirSim的空地协同仿真教学案例设计与实践
📚 Books worth reading
AirSIMPeter Williams, Jonathan Finkelstein · 2002
Delay Task Force studyO'Hare Delay Task Force · 1976
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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