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  license: mit
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: mit
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+ language:
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+ - en
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+ tags:
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+ - Autonomous Driving
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+ - CARLA Simulator
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+ - ImitationLearning
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+ size_categories:
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+ - 10B<n<100B
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+ pretty_name: S
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  ---
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+
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+ This dataset consists of 80 episodes of driving data collected using an autopilot agent in CARLA simulator for training imitation learning models for autonomous driving tasks.
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+ Each frame is structured as follows:
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+ ```
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+ frame_data = {
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+ 'frame': the frame index,
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+ 'hlc': an integer representing the high-level command,
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+ 'light': an integer representing current traffic light status,
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+ 'controls': an array of [throttle, steer, brake],
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+ 'measurements': current speed in km/h,
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+ 'rgb': rgb camera image,
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+ 'segmentation': ground truth segmentation image,
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+ }
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+ ```
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+
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+ This dataset is used in [this project](https://github.com/TheRoboticsClub/gsoc2023-Meiqi_Zhao). Check out the [example code](https://github.com/TheRoboticsClub/gsoc2023-Meiqi_Zhao/blob/main/src/ModifiedDeepestLSTMTinyPilotNet/utils/load_dataset.py) for loading the dataset.