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Found 4 papers, 2 papers with code
Attention-based Vehicle Self-Localization with HD Feature Maps
We present a vehicle self-localization method using point-based deep neural networks.
Point Transformer
In this work, we present Point Transformer, a deep neural network that operates directly on unordered and unstructured point sets.
Ranked #35 on
3D Part Segmentation
on ShapeNet-Part
DeepCLR: Correspondence-Less Architecture for Deep End-to-End Point Cloud Registration
This work addresses the problem of point cloud registration using deep neural networks.
DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks
The map is generated off-line by extracting landmarks from the vehicle's field of view, while the measurements are collected similarly on the fly.
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