Mapping the Static Parts of Dynamic Scenes from 3D LiDAR Point Clouds Exploiting Ground Segmentation. - Mehul Arora; Louis Wiesmann; Xieyuanli Chen; Cyrill Stachniss (ECMR, 2021)

Moving Object Segmentation in 3D LiDAR Data: A Learning-Based Approach Exploiting Sequential Data. - Xieyuanli Chen; Shijie Li 006; Benedikt Mersch; Louis Wiesmann; Jürgen Gall; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2021)

Deep Compression for Dense Point Cloud Maps. - Louis Wiesmann; Andres Milioto; Xieyuanli Chen; Cyrill Stachniss; Jens Behley (IEEE Robotics Autom. Lett., 2021)

Retriever: Point Cloud Retrieval in Compressed 3D Maps. - Louis Wiesmann; Rodrigo Marcuzzi; Cyrill Stachniss; Jens Behley (ICRA, 2022)

Robust Onboard Localization in Changing Environments Exploiting Text Spotting. - Nicky Zimmerman; Louis Wiesmann; Tiziano Guadagnino; Thomas Läbe; Jens Behley; Cyrill Stachniss (IROS, 2022)

Contrastive Instance Association for 4D Panoptic Segmentation Using Sequences of 3D LiDAR Scans. - Rodrigo Marcuzzi; Lucas Nunes; Louis Wiesmann; Ignacio Vizzo; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2022)

Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments. - Ignacio Vizzo; Benedikt Mersch; Rodrigo Marcuzzi; Louis Wiesmann; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2022)

DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments. - Louis Wiesmann; Tiziano Guadagnino; Ignacio Vizzo; Giorgio Grisetti; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2022)

Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving. - Lucas Nunes; Louis Wiesmann; Rodrigo Marcuzzi; Xieyuanli Chen; Jens Behley; Cyrill Stachniss (CVPR, 2023)

Toward Reproducible Version-Controlled Perception Platforms: Embracing Simplicity in Autonomous Vehicle Dataset Acquisition. - Ignacio Vizzo; Benedikt Mersch; Lucas Nunes; Louis Wiesmann; Tiziano Guadagnino; Cyrill Stachniss (ITSC, 2023)

Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving. - Rodrigo Marcuzzi; Lucas Nunes; Louis Wiesmann; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

High Precision Leaf Instance Segmentation for Phenotyping in Point Clouds Obtained Under Real Field Conditions. - Elias Marks; Matteo Sodano; Federico Magistri; Louis Wiesmann; Dhagash Desai; Rodrigo Marcuzzi; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

KISS-ICP: In Defense of Point-to-Point ICP - Simple, Accurate, and Robust Registration If Done the Right Way. - Ignacio Vizzo; Tiziano Guadagnino; Benedikt Mersch; Louis Wiesmann; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

LocNDF: Neural Distance Field Mapping for Robot Localization. - Louis Wiesmann; Tiziano Guadagnino; Ignacio Vizzo; Nicky Zimmerman; Yue Pan; Haofei Kuang; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

KPPR: Exploiting Momentum Contrast for Point Cloud-Based Place Recognition. - Louis Wiesmann; Lucas Nunes; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

Static map generation from 3D LiDAR point clouds exploiting ground segmentation. - Mehul Arora; Louis Wiesmann; Xieyuanli Chen; Cyrill Stachniss (Robotics Auton. Syst., 2023)

Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Sequences. - Rodrigo Marcuzzi; Lucas Nunes; Louis Wiesmann; Elias Marks; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

LIO-EKF: High Frequency LiDAR-Inertial Odometry using Extended Kalman Filters. - Yibin Wu; Tiziano Guadagnino; Louis Wiesmann; Lasse Klingbeil; Cyrill Stachniss; Heiner Kuhlmann (ICRA, 2024)

Efficient LiDAR Bundle Adjustment for Multi-Scan Alignment Utilizing Continuous-Time Trajectories. - Louis Wiesmann; Elias Marks; Saurabh Gupta; Tiziano Guadagnino; Jens Behley; Cyrill Stachniss (CoRR, 2024)

PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency. - Yue Pan; Xingguang Zhong; Louis Wiesmann; Thorbjörn Posewsky; Jens Behley; Cyrill Stachniss (IEEE Trans. Robotics, 2024)

SPR: Single-Scan Radar Place Recognition. - Daniel Casado Herraez; Le Chang; Matthias Zeller; Louis Wiesmann; Jens Behley; Michael Heidingsfeld; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2024)

Joint Intrinsic and Extrinsic Calibration of Perception Systems Utilizing a Calibration Environment. - Louis Wiesmann; Thomas Läbe; Lucas Nunes; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2024)

PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map. - Yue Pan; Xingguang Zhong; Liren Jin; Louis Wiesmann; Marija Popovic; Jens Behley; Cyrill Stachniss (CoRR, 2025)

Improving Indoor Localization Accuracy by Using an Efficient Implicit Neural Map Representation. - Haofei Kuang; Yue Pan; Xingguang Zhong; Louis Wiesmann; Jens Behley; Cyrill Stachniss (CoRR, 2025)

SfmOcc: Vision-Based 3D Semantic Occupancy Prediction in Urban Environments. - Rodrigo Marcuzzi; Lucas Nunes; Elias Marks; Louis Wiesmann; Thomas Läbe; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2025)