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Training a Fast Object Detector for LiDAR Range Images Using Labeled Data from Sensors with Higher Resolution
We use an existing annotated dataset to train a neural network that can be used with a LiDAR sensor that has a lower resolution than the one used for recording the annotated dataset.
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