Tool for generating Clang's JSON Compilation Database files for make-based build systems.

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)

(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)

[ICCV2023] NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping

🌟 SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations (ICRA 2023)

Official page of ERASOR (Egocentric Ratio of pSeudo Occupancy-based Dynamic Object Removal), which is accepted @ RA-L'21 with ICRA'21

Poisson Surface Reconstruction for LiDAR Odometry and Mapping

[ICRA 2024] SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation

Python to the people

Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions (RAL 2022)

Range Image-based LiDAR Localization for Autonomous Vehicles Using Mesh Maps (chen2021icra)

chen2020iros: Learning an Overlap-based Observation Model for 3D LiDAR Localization.

Code for "Dense Tracking and Mapping with Voxel-based Neural Implicit Representation", ISMAR 2022

[RAL/IROS 2022] OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition.

[IROS 2022] Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation

Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn

A LiDAR-based complete global localization method.

[CVPR 2024] Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications

Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments

Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation (RAL 2023)

4D Panoptic Lidar Segmentation

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

[IROS23] InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data

[IEEE RAL'24 & IROS'24] Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots

IR-MCL: Implicit Representation-Based Online Global Localization https://arxiv.org/abs/2210.03113

[TII 2023] A Cross-View Transformer Network for LiDAR-Based Place Recognition in Autonomous Driving Environments.

[CVPR'23] TARL: Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving

[TIE 2022] SeqOT: A Spatial-Temporal Transformer Network for Place Recognition Using Sequential LiDAR Data.