AirSim
apollo
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AirSim | apollo | |
---|---|---|
10 | 8 | |
15,867 | 5,984 | |
1.2% | 0.1% | |
0.0 | 8.2 | |
16 days ago | 18 days ago | |
C++ | TypeScript | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
AirSim
- Modding API for old game: Strategies to ensure it runs on older systems while not losing productivity?
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Replay system (gamemode from c++)
Have created all widgets, code compile successfully but have problem with replay spectator. Im using plugin AirSim https://github.com/microsoft/AirSim it is plugin that simulate drone. It has own gamemode AirsimGamemode (here is c++ file https://github.com/microsoft/AirSim/tree/main/Unreal/Plugins/AirSim/Source) that spawn drone at start. Problem is that I cant assign BP_PC_Spectator there. So I created own gamemode that I thought will override AirSimGameMode. It kinda did, it spawned drone on start but replay spectator widget show record screen, but it is not shown on play replay screen and I cannot move there as well.
- Heat map of environment monitored by drone
- 3D heatmap of environment monitored by drone
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Airsim, ROS, can msg be shared between packages/nodes ?
Hi, I implemented path planner as node in ROS. Now I want to try the route planner in the AirSim simulator. During path execution, I want to get outputs from sensors such as GPS, IMU and Lidar. AirSim come with build in wrapper (https://github.com/microsoft/AirSim/tree/main/ros/src/airsim_ros_pkgs) that create topic and services once launched. Wrapper create two nodes, one to obtain sensors data and one to control drone. Wrapper is build in AirSim directory and path planer is in another. Is it possible to share msg so I can call and subscribe to wrapper topics in my planner node ? Or do I have to write msg for every topic, service I want to use ?
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Destruction of a russian fuel truck
And there are also some open-source projects you could join, instead of starting a new one. This one looks interesting, haven't tried it though: https://github.com/Microsoft/AirSim
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What happened in IoT last two months? Here are some headlines I found interesting
In 2017 Microsoft created AirSim, an open-source simulation platform for AI research and experimentation with drones and cars. This July, Microsoft announced the upcoming release of a new simulation platform and the archive of the original 2017 AirSim.
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Currently writing out a plan for an RL based path-planning project. (I'm doing it for my Smart Vehicles course in my Master's Degree) Don't have much domain knowledge atm but looking for some advice on how to approach the problem?
AirSim: https://github.com/microsoft/AirSim
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8+ Reinforcement Learning Project Ideas
AirSim
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Is it possible to train a self driving car on google colab?
I've been trying for a while now and I started thinking it may not be possible. If anyone has managed to train a self-driving car simulator using openai gym on google colab(preferably), or on any remote server (AWS, GCP, ...) please let me know. So far, I tried carla, airsim, svl, deepdrive and they are all equally useless unless run locally with a gui. I'd really appreciate if someone suggests some way that actually can make it possible.
apollo
- Is there a Nuxt API Resource approach?
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What are the best practices with Nuxt3
Is this what apollo-components is all about? https://github.com/vuejs/apollo Bulletproof is based on a REST API, so if GraphQL is the backend, this would be a great choice!
- GraphQL set up with NuxtJS
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Nuxt 3 + Apollo
If you're set on using both Nuxt 3 and Vue Apollo, I'd recommend not using the Nuxt Apollo module, and instead integrating Vue Apollo directly: https://github.com/vuejs/vue-apollo
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Defining many controllers for a model for different API endpoints each requiring its own subset of fields of the model thus ensuring that DB querying is optimized and that no bandwidth is wasted serving up unnecessary data that is not to be rendered
Cool, if you do go with graphql, I'd recommend vue-apollo on the client end. Combine with @vue/apollo-composable and graphql-codegen and it feels like sorcery.
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Fullstack with vue CRUD frontend and graphql backend... struggling with frontend state ideas
Frontend is vuejs 2 that was scaffolded with vue-clu and is a CRUD site for the backend. I planned on using vue-apollo for the frontend to easily connect to graphql backend, I was especially excited to learn that vue-apollo handles most of the state and caching and decided to try it instead of vuex for state. I've hit a couple snags though and am beginning to think that vue-apollo isn't the right way to approach this (plus their documentation leaves much to be desired). Here's where I'm at:
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Top 20+ vue.js frameworks and libraries for your next project
You might have heard lots of buzz around GraphQL, and if you are interested in integrating it with Vue.js, then I would like to suggest you try Vue Apollo. The library makes use of Vue in the combination of GraphQL/Apollo for a smooth as well as a pleasant experience. To get startedClick here
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Why is graphql-tag needed for Vue Apollo?
I'm learning GraphQL and every tutorial/vid I look at in relation to using Apollo with Vue seems to involve this other package, graphql-tag. But no one ever seems to explain why it's needed, and it's not listed as a dependency of Vue Apollo. So can anyone tell me precisely why graphql-tag is needed, and whether Apollo can work with Vue without it? Essentially, is it required (and if so why isn't it listed as an Apollo dependency?) or optional?
What are some alternatives?
carla - Open-source simulator for autonomous driving research.
urql - The highly customizable and versatile GraphQL client with which you add on features like normalized caching as you grow.
ml-agents - The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
react-query - 🤖 Powerful asynchronous state management, server-state utilities and data fetching for TS/JS, React, Solid, Svelte and Vue. [Moved to: https://github.com/TanStack/query]
gym - A toolkit for developing and comparing reinforcement learning algorithms.
SWR - React Hooks for Data Fetching
GAAS - GAAS is an open-source program designed for fully autonomous VTOL(a.k.a flying cars) and drones. GAAS stands for Generalized Autonomy Aviation System.
swrv - Stale-while-revalidate data fetching for Vue
Autonomous-Ai-drone-scripts - State of the art autonomous navigation scripts using Ai, Computer Vision, Lidar and GPS to control an arducopter based quad copter.
apollo - An open autonomous driving platform
vuex - 🗃️ Centralized State Management for Vue.js.