apollo VS carla

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!

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

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.

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:

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

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?

It sounds like you're looking for something like the CARLA simulator.

If you are looking for a different simulator, I would suggest using (Carla)[https://carla.org/] with ROS bridge and it also has an inbuilt support for OSM which worked flawlessly (you have to install it from source to get the OSM plugin).

(3) I would suggest you use CARLA or TORCS for self-driving cars in RL as they are common test beds.

carla env

Link to carla

There are a few ways you could go with this. A fun recent trend has been to make simulators in the unreal engine for photorealistic training. If you wanted to spend your whole project on the simulator part you could make your own environment, but I highly recommend using an open-source sim package. If you don't care too much about photorealism, you could use gazebo just fine. I've also made small visual worlds in blender, then simulated with RVIZ. Here's a good one with a focus on aerial robotics: https://theairlab.org/tartanair-dataset/ You could also give CARLA a spin for autonomous vehicles: https://carla.org/