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Found 4 papers, 1 papers with code
Diffusion-Based Point Cloud Super-Resolution for mmWave Radar Data
The millimeter-wave radar sensor maintains stable performance under adverse environmental conditions, making it a promising solution for all-weather perception tasks, such as outdoor mobile robotics.
Fast and Accurate Deep Loop Closing and Relocalization for Reliable LiDAR SLAM
In the end, we integrate our LCR-Net into a SLAM system and achieve robust and accurate online LiDAR SLAM in outdoor driving environments.
RDMNet: Reliable Dense Matching Based Point Cloud Registration for Autonomous Driving
The proposed 3D-RoFormer fuses 3D position information into the transformer network, efficiently exploiting point clouds' contextual and geometric information to generate robust superpoint correspondences.
InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data
We evaluated our approach on the LiDAR-MOS benchmark based on SemanticKITTI and achieved better moving object segmentation performance compared to state-of-the-art methods, demonstrating the effectiveness of our approach in integrating instance information for moving object segmentation.
