%0 Generic %1 shah2017airsim %A Shah, Shital %A Dey, Debadeepta %A Lovett, Chris %A Kapoor, Ashish %D 2017 %K ML simulation %T AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles %U http://arxiv.org/abs/1705.05065 %X Developing and testing algorithms for autonomous vehicles in real world is an expensive and time consuming process. Also, in order to utilize recent advances in machine intelligence and deep learning we need to collect a large amount of annotated training data in a variety of conditions and environments. We present a new simulator built on Unreal Engine that offers physically and visually realistic simulations for both of these goals. Our simulator includes a physics engine that can operate at a high frequency for real-time hardware-in-the-loop (HITL) simulations with support for popular protocols (e.g. MavLink). The simulator is designed from the ground up to be extensible to accommodate new types of vehicles, hardware platforms and software protocols. In addition, the modular design enables various components to be easily usable independently in other projects. We demonstrate the simulator by first implementing a quadrotor as an autonomous vehicle and then experimentally comparing the software components with real-world flights.

@misc{shah2017airsim, abstract = {Developing and testing algorithms for autonomous vehicles in real world is an expensive and time consuming process. Also, in order to utilize recent advances in machine intelligence and deep learning we need to collect a large amount of annotated training data in a variety of conditions and environments. We present a new simulator built on Unreal Engine that offers physically and visually realistic simulations for both of these goals. Our simulator includes a physics engine that can operate at a high frequency for real-time hardware-in-the-loop (HITL) simulations with support for popular protocols (e.g. MavLink). The simulator is designed from the ground up to be extensible to accommodate new types of vehicles, hardware platforms and software protocols. In addition, the modular design enables various components to be easily usable independently in other projects. We demonstrate the simulator by first implementing a quadrotor as an autonomous vehicle and then experimentally comparing the software components with real-world flights.}, added-at = {2019-12-20T11:27:01.000+0100}, author = {Shah, Shital and Dey, Debadeepta and Lovett, Chris and Kapoor, Ashish}, biburl = {https://www.bibsonomy.org/bibtex/2dd7d6e34c66e1c98c00e9d5d0201a65a/rpennec}, description = {AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles}, interhash = {79e0ccee0f8eede2f9e3f3f55f4141ab}, intrahash = {dd7d6e34c66e1c98c00e9d5d0201a65a}, keywords = {ML simulation}, note = {cite arxiv:1705.05065Comment: Accepted for Field and Service Robotics conference 2017 (FSR 2017)}, timestamp = {2019-12-20T11:27:01.000+0100}, title = {AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles}, url = {http://arxiv.org/abs/1705.05065}, year = 2017 }