Photogrammetry & Robotics Bonn
Photogrammetry & Robotics Bonn
depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
LiDAR-MOS
(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
overlap_localization
chen2020iros: Learning an Overlap-based Observation Model for 3D LiDAR Localization.
lidar-bonnetal
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
semantic_suma
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
semantic-kitti-api
SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
OverlapNet
OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
bonnetal
Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn
vdbfusion
C++/Python Sparse Volumetric TSDF Fusion
point-cloud-prediction
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks