MDT3D: Multi-Dataset Training for LiDAR 3D Object Detection Generalization
Author:
Affiliation:
1. PSL University,Centre for Robotics, Mines Paris - PSL,Paris,France,75006
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10341341/10341342/10341614.pdf?arnumber=10341614
Reference26 articles.
1. Pointnet: Deep learning on point sets for 3d classification and segmentation;Qi,2017
2. VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
3. PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud
4. Pointnet++-: Deep hierarchical feature learning on point sets in a metric space;Qi,2017
5. PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
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1. 3D ToF LiDAR for Mobile Robotics in Harsh Environments: A Review;Unmanned Systems;2024-06-22
2. ParisLuco3D: A High-Quality Target Dataset for Domain Generalization of LiDAR Perception;IEEE Robotics and Automation Letters;2024-06
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