Retriever: Point Cloud Retrieval in Compressed 3D Maps

Author:

Wiesmann Louis1,Marcuzzi Rodrigo1,Stachniss Cyrill1,Behley Jens1

Affiliation:

1. University of Bonn,Germany

Funder

Deutsche Forschungsgemein-schaft (DFG, German Research Foundation) under Germany's Excellence Strategy

Publisher

IEEE

Reference57 articles.

1. NARF: 3D range image features for object recognition;steder;Workshop on Defining and Solving Realistic Perception Problems in Personal Robotics at the IEEE/RSJ Int Conf on Intelligent Robots and Systems (IROS),0

2. Place recognition in 3D scans using a combination of bag of words and point feature based relative pose estimation

3. Kidnapped radar: Topological radar localisation using rotationally-invariant metric learning;s?ftescu;IEEE Intl Conf On Robotics and Automation (ICRA) IEEE,0

4. ORB: An efficient alternative to SIFT or SURF

5. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space;qi;Proc of the Advances in Neural Information Processing Systems (NIPS),0

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1. SAGE-Net: Employing Spatial Attention and Geometric Encoding for Point Cloud Based Place Recognition;IEEE Robotics and Automation Letters;2024-06

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4. VOLoc: Visual Place Recognition by Querying Compressed Lidar Map;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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