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Monocular Semantic Occupancy Grid Mapping with Convolutional Variational Encoder-Decoder Networks
In this work, we research and evaluate end-to-end learning of monocular semantic-metric occupancy grid mapping from weak binocular ground truth.
Ranked #2 on
Bird's-Eye View Semantic Segmentation
on nuScenes
(IoU veh - 224x480 - No vis filter - 100x50 at 0.25 metric)
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