TeleopWM Dataset TeleopWM Dataset is a large scale collection of CARLA driving rollouts used for training and evaluating TeleopWM , a predictive latent world model for latency resilient vision based teleoperation. The dataset contains synchronized RGB observations, vehicle controls, speed measurements, and metadata used to construct short horizon future prediction tasks for both visual rollout prediction and future action forecasting. Related Resources Project page: https://bimilab.github.io/paper TeleopWM/ Model checkpoint: https://huggingface.co/bimilab/TeleopWM GitHub repository: https://github.com/bimilab/paper TeleopWM YouTube demo: https://youtu.be/WeKqqZuwBl0 Overview TeleopWM Dataset was designed for research on: latency resilient teleoperation predictive display future observation prediction future action prediction world models for driving autonomous and teleoperated vehicle systems The dataset follows a CARLA/MILE style rollout format and contains driving data collected across multiple CARLA towns and driving scenarios. Dataset Structure The official TeleopWM experiments use: Split Towns Train Town01, Town03, Town04 Validation Town02 Test Town05 This split was selected t…
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