

The faster CARLA can do sensor simulation the better. I am sure is it a technical reason, in which case haven't you considered trying to get to the root of the problem? I am sure if these crazy games today can achieve 30-60 fps on average machines, our beloved car simulator on a strong gpu can be running Thanks for your issue. Perhaps you could explain here what is the core reason for this. Since this project was created with the goal of helping scientists of Autonomous driving, deep learning, image processing research I think the most essential thing is being able to render images with decent quality and frame rate when having GPUs like that. Most of these issues went unsolved for them. #1580 - Low fps on carla 0.9.5 when cpu, gpu and memory usage is low #1207 - Carla 0.9.2 gets slower after every iteration of scenario_runner #1121 - Increase Framerate of the Server (0.9.2)
LIFTOFF SIMULATOR TOO SLOW MANUAL
#606 - Simulator very slow in manual mode This issue has been brought up before many times: I wonder why is this the case? Why games like GTA V, Pubg or anything run with no lag 60fps as expected on a GPU like mine and even on weaker gpus, and a simple CAR simulator runs on 10-15 fps? I know roughly how games work, but I can't think of a reason why this happens. Cars hit each other, they drive nudging, and I can't do a decent record with even one camera when I will need four at least.

I spawn 50 cars 50 pedestrians and my car with only one camera on 700x700 and I hit record and the FPS is 15. However when it comes to rendering scenarios it is terrible. Before I decided on this GTA V was my other option, but this seemed better suiting, and honestly I still think so. I have been working on this project for one and a half months now, and I choose CARLA in the beginning for it being the sole simulator I found with two essential requirements I need: custom camera setting, simulated traffic and maybe an API that let's tinker with the world. I am working on a scene-understanding project with all the stuff (stereo image processing, deep learning, etc).

First of all I love the goal of the project and I think there is great potential.
