nicolas93/DriveLM

DriveLM: Driving with Graph Visual Question Answering. We facilitate Perception, Prediction, Planning, Behavior, Motion tasks with human-written reasoning logic as a connection. We propose the task of GVQA to connect the QA pairs in a graph-style structure. To support this novel task, we provide the DriveLM-Data. DriveLM-Data comprises two distinct components: DriveLM-nuScenes and DriveLM-CARLA. In the case of DriveLM-nuScenes, we construct our dataset based on the prevailing… See the full description on the dataset page: https://huggingface.co/datasets/nicolas93/DriveLM.

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