Replies: 2 comments
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For this use case I would treat each mirror/rear view as its own The closest official examples are:
Recommended architecture:
Approximate starting transforms for rear_tf = carla.Transform(carla.Location(x=-2.5, z=1.6), carla.Rotation(yaw=180))
left_tf = carla.Transform(carla.Location(x=0.6, y=-1.1, z=1.35), carla.Rotation(yaw=-120))
right_tf = carla.Transform(carla.Location(x=0.6, y=1.1, z=1.35), carla.Rotation(yaw=120))For performance, three extra RGB cameras can be expensive, especially at full window resolution. Give the mirror cameras smaller If this gives you the implementation direction you needed, please mark it as the answer so other CARLA/pygame simulator users can find the multi-camera pattern. |
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Hi Jeya0507, I just stumbled across your question. Very interesting! We are currently working on an open simulator framework based on CARLA for driving, cycling and pedestrian simulation (https://arxiv.org/abs/2609.11478v1). Feel free to contact us; we can certainly learn a lot from each other! Do you also plan to open-source your framework? Best regards |
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Hello CARLA team and community,
we are developing a driving-school simulator based on CARLA 0.9.x and pygame.
For parking training, we need:
Our current simulator already uses the standard CameraManager and one main cockpit camera.
Before implementing additional sensor.camera.rgb actors, we would like to ask:
Our target vehicle is currently vehicle.nissan.patrol, and the UI is rendered with pygame.
Thank you for your guidance.
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