[SP02] Developing autonomous vehicles with AirSimde:code 2017
AirSim is a simulator for autonomous vehicles built on Unreal Engine. AirSim provides a rich platform to develop autonomy by enabling use of AI technologies, such as deep learning, computer vision, reinforcement learning etc. It is open-source, cross platform and supports hardware-in-loop simulation, thus allowing rapid development and testing of the system. The simulation is developed as a plugin and can be simply be dropped into any Unreal environment. AirSim supports AI development capabilities by exposing APIs to enable data logging and controlling vehicles in a platform independent manner. We will give an overview of how to use AirSim for building realistic simulation environments and doing development for quadrotors that use popular flight controllers such as Pixhawk. It is developed as a plugin that can simply be dropped in to any Unreal environment you want. We will also showcase how the system can be used to incorporate machine learning components useful for building such autonomous systems.
製品/テクノロジ: AI (人工知能)/Deep Learning (深層学習)/Linux/Machine Learning (機械学習)/OSS/Windows
Ashish Kapoor
Microsoft Corporation
Microsoft Research
Principal Researcher
Shital Shah
Microsoft Corporation
Microsoft Research
Principal Research Software Development Engineer
[DO16] Mesosphere : Microservices meet Fast Data on Azure de:code 2017
The document discusses how microservices and fast data can be combined on Azure using the SMACK stack. It describes each component of the stack: Apache Kafka for ingesting data streams, Apache Spark for stream processing, Apache Cassandra for storage, and Akka for acting on the data. It outlines how Mesos provides a datacenter operating system to run these diverse workloads together efficiently using resource multiplexing across servers.
[SP02] Developing autonomous vehicles with AirSimde:code 2017
AirSim is a simulator for autonomous vehicles built on Unreal Engine. AirSim provides a rich platform to develop autonomy by enabling use of AI technologies, such as deep learning, computer vision, reinforcement learning etc. It is open-source, cross platform and supports hardware-in-loop simulation, thus allowing rapid development and testing of the system. The simulation is developed as a plugin and can be simply be dropped into any Unreal environment. AirSim supports AI development capabilities by exposing APIs to enable data logging and controlling vehicles in a platform independent manner. We will give an overview of how to use AirSim for building realistic simulation environments and doing development for quadrotors that use popular flight controllers such as Pixhawk. It is developed as a plugin that can simply be dropped in to any Unreal environment you want. We will also showcase how the system can be used to incorporate machine learning components useful for building such autonomous systems.
製品/テクノロジ: AI (人工知能)/Deep Learning (深層学習)/Linux/Machine Learning (機械学習)/OSS/Windows
Ashish Kapoor
Microsoft Corporation
Microsoft Research
Principal Researcher
Shital Shah
Microsoft Corporation
Microsoft Research
Principal Research Software Development Engineer
[DO16] Mesosphere : Microservices meet Fast Data on Azure de:code 2017
The document discusses how microservices and fast data can be combined on Azure using the SMACK stack. It describes each component of the stack: Apache Kafka for ingesting data streams, Apache Spark for stream processing, Apache Cassandra for storage, and Akka for acting on the data. It outlines how Mesos provides a datacenter operating system to run these diverse workloads together efficiently using resource multiplexing across servers.