🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
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Updated
Nov 11, 2021 - C++
🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)
Range Image-based LiDAR Localization for Autonomous Vehicles Using Mesh Maps (chen2021icra)
This is a lidar segmentation method based on range image.
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks
Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments
[CVPR 2024] Official implementation of "Towards Realistic Scene Generation with LiDAR Diffusion Models"
Cross-platform library to communicate with LiDAR devices of the Blickfeld GmbH.
COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation (BMVC 2022)
Rust-based 3D point cloud alignment
Codes written for assignments of CS60052 (Spring'20)
This package developed in ROS is for point cloud processing of a livox360 sensor.
3D LiDAR Semantic Segmentation with range images and Retentive Networks
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