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carla-rl's Issues

create a pedestrian environment, where the pedestrian is rewarded for walking as far as possible from the spawn point.

Create a gym environment where the pedestrian is rewarded to walk longer distances.

Action space:

  • walk direction
  • walk speed

observation space

  • segmentation camera
  • init position
  • current position
  • current orientation

reward:

only based on the distance from the init position

expected issues:

  • action space defintion for a walker
  • input layer definition for a camera image and float numbers

Initiation does not set spectator

When the carla server is started for the first time, the spectator is not set to the proper position.
I don't know if the walker is spawned, but it gets deleted.

Cuda out of memory

RuntimeError: CUDA error: out of memory
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.

observation has an unconventional shape

/home/luttkule/anaconda3/envs/carla-rl-py37-c13/lib/python3.7/site-packages/stable_baselines3/common/env_checker.py:131: UserWarning: Your observation  has an unconventional shape (neither an image, nor a 1D vector). We recommend you to flatten the observation to have only a 1D vector or use a custom policy to properly process the data.
  f"Your observation {key} has an unconventional shape (neither an image, nor a 1D vector). "

train_vehicle_env

how to solve“Process finished with exit code 139 (interrupted by signal 11: SIGSEGV)”

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