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ORCIDCyrill Stachniss
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- affiliation: University of Freiburg, Germany
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2020 – today
- 2024
[j100]Huan Yin, Xuecheng Xu, Sha Lu, Xieyuanli Chen
, Rong Xiong, Shaojie Shen, Cyrill Stachniss, Yue Wang:
A Survey on Global LiDAR Localization: Challenges, Advances and Open Problems. Int. J. Comput. Vis. 132(8): 3139-3171 (2024)- [j99]Jan Weyler, Federico Magistri, Elias Marks, Yue Linn Chong, Matteo Sodano, Gianmarco Roggiolani, Nived Chebrolu, Cyrill Stachniss, Jens Behley:
PhenoBench: A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9583-9594 (2024) - [j98]Claus Smitt, Michael Halstead, Patrick Zimmer, Thomas Läbe, Esra Guclu, Cyrill Stachniss, Chris McCool:
PAg-NeRF: Towards Fast and Efficient End-to-End Panoptic 3D Representations for Agricultural Robotics. IEEE Robotics Autom. Lett. 9(1): 907-914 (2024) - [j97]Jan Weyler, Thomas Läbe, Jens Behley, Cyrill Stachniss:
Panoptic Segmentation With Partial Annotations for Agricultural Robots. IEEE Robotics Autom. Lett. 9(2): 1660-1667 (2024) - [j96]Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning. IEEE Robotics Autom. Lett. 9(3): 2662-2669 (2024) - [j95]Ibrahim Hroob, Benedikt Mersch, Cyrill Stachniss, Marc Hanheide:
Generalizable Stable Points Segmentation for 3D LiDAR Scan-to-Map Long-Term Localization. IEEE Robotics Autom. Lett. 9(4): 3546-3553 (2024) - [j94]Federico Magistri, Yue Pan, Jake Bartels, Jens Behley, Cyrill Stachniss, Chris Lehnert:
Improving Robotic Fruit Harvesting Within Cluttered Environments Through 3D Shape Completion. IEEE Robotics Autom. Lett. 9(8): 7357-7364 (2024) - [j93]Apoorva Vashisth, Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Deep Reinforcement Learning With Dynamic Graphs for Adaptive Informative Path Planning. IEEE Robotics Autom. Lett. 9(9): 7747-7754 (2024) - [j92]Daniel Casado Herraez, Le Chang, Matthias Zeller, Louis Wiesmann, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss:
SPR: Single-Scan Radar Place Recognition. IEEE Robotics Autom. Lett. 9(10): 9079-9086 (2024) - [j91]Louis Wiesmann, Thomas Läbe, Lucas Nunes, Jens Behley, Cyrill Stachniss:
Joint Intrinsic and Extrinsic Calibration of Perception Systems Utilizing a Calibration Environment. IEEE Robotics Autom. Lett. 9(10): 9103-9110 (2024) - [j90]Matthias Zeller, Vardeep S. Sandhu, Benedikt Mersch, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss:
Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds. IEEE Trans. Robotics 40: 2357-2372 (2024) - [j89]Yue Pan, Xingguang Zhong, Louis Wiesmann, Thorbjörn Posewsky, Jens Behley, Cyrill Stachniss:
PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency. IEEE Trans. Robotics 40: 4045-4064 (2024) - [c176]Matteo Sodano, Federico Magistri, Lucas Nunes, Jens Behley, Cyrill Stachniss:
Open-World Semantic Segmentation Including Class Similarity. CVPR 2024: 3184-3194 - [c175]Lucas Nunes, Rodrigo Marcuzzi, Benedikt Mersch, Jens Behley, Cyrill Stachniss:
Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion. CVPR 2024: 14770-14780 - [c174]Xingguang Zhong, Yue Pan, Cyrill Stachniss, Jens Behley:
3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural Representation. CVPR 2024: 15417-15427 - [c173]Federico Magistri, Rodrigo Marcuzzi, Elias Marks, Matteo Sodano, Jens Behley, Cyrill Stachniss:
Efficient and Accurate Transformer-Based 3D Shape Completion and Reconstruction of Fruits for Agricultural Robots. ICRA 2024: 8657-8663 - [c172]Saurabh Gupta, Tiziano Guadagnino, Benedikt Mersch, Ignacio Vizzo, Cyrill Stachniss:
Effectively Detecting Loop Closures using Point Cloud Density Maps. ICRA 2024: 10260-10266 - [c171]Daniel Casado Herraez, Matthias Zeller, Le Chang, Ignacio Vizzo, Michael Heidingsfeld, Cyrill Stachniss:
Radar-Only Odometry and Mapping for Autonomous Vehicles. ICRA 2024: 10275-10282 - [c170]Yibin Wu, Tiziano Guadagnino, Louis Wiesmann, Lasse Klingbeil, Cyrill Stachniss, Heiner Kuhlmann:
LIO-EKF: High Frequency LiDAR-Inertial Odometry using Extended Kalman Filters. ICRA 2024: 13741-13747 - [c169]Matthias Zeller, Daniel Casado Herraez, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss:
Radar Tracker: Moving Instance Tracking in Sparse and Noisy Radar Point Clouds. ICRA 2024: 16170-16177 - [c168]Meher V. R. Malladi, Tiziano Guadagnino, Luca Lobefaro, Matías Mattamala, Holger Griess, Janine Schweier, Nived Chebrolu, Maurice F. Fallon, Jens Behley, Cyrill Stachniss:
Tree Instance Segmentation and Traits Estimation for Forestry Environments Exploiting LiDAR Data Collected by Mobile Robots. ICRA 2024: 17933-17940 - [i81]Gianmarco Roggiolani, Federico Magistri, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss:
Unsupervised Pre-Training for 3D Leaf Instance Segmentation. CoRR abs/2401.08720 (2024) - [i80]Yue Pan, Xingguang Zhong, Louis Wiesmann, Thorbjörn Posewsky, Jens Behley, Cyrill Stachniss:
PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency. CoRR abs/2401.09101 (2024) - [i79]Apoorva Vashisth, Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning. CoRR abs/2402.04894 (2024) - [i78]Matteo Sodano, Federico Magistri, Lucas Nunes, Jens Behley, Cyrill Stachniss:
Open-World Semantic Segmentation Including Class Similarity. CoRR abs/2403.07532 (2024) - [i77]Liren Jin, Haofei Kuang, Yue Pan, Cyrill Stachniss, Marija Popovic:
STAIR: Semantic-Targeted Active Implicit Reconstruction. CoRR abs/2403.11233 (2024) - [i76]Lucas Nunes, Rodrigo Marcuzzi, Benedikt Mersch, Jens Behley, Cyrill Stachniss:
Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion. CoRR abs/2403.13470 (2024) - [i75]Sicong Pan, Liren Jin, Xuying Huang, Cyrill Stachniss, Marija Popovic, Maren Bennewitz:
Exploiting Priors from 3D Diffusion Models for RGB-Based One-Shot View Planning. CoRR abs/2403.16803 (2024) - [i74]Xingguang Zhong, Yue Pan, Cyrill Stachniss, Jens Behley:
3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural Representation. CoRR abs/2405.03388 (2024) - [i73]Federico Magistri, Thomas Läbe, Elias Marks, Sumanth Nagulavancha, Yue Pan, Claus Smitt, Lasse Klingbeil, Michael Halstead, Heiner Kuhlmann, Chris McCool, Jens Behley, Cyrill Stachniss:
A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics. CoRR abs/2407.13304 (2024) - [i72]Pieter M. Blok, Federico Magistri, Cyrill Stachniss, Haozhou Wang, James Burridge, Wei Guo:
High-throughput 3D shape completion of potato tubers on a harvester. CoRR abs/2407.21341 (2024) - [i71]Balázs Opra, Betty Le Dem, Jeffrey M. Walls, Dimitar Lukarski, Cyrill Stachniss:
Leveraging GNSS and Onboard Visual Data from Consumer Vehicles for Robust Road Network Estimation. CoRR abs/2408.01640 (2024) - [i70]Hyungtae Lim, Seoyeon Jang, Benedikt Mersch, Jens Behley, Hyun Myung, Cyrill Stachniss:
HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds From Heterogeneous LiDAR Sensors. CoRR abs/2408.06328 (2024) - [i69]Tiziano Guadagnino, Benedikt Mersch, Ignacio Vizzo, Saurabh Gupta, Meher V. R. Malladi, Luca Lobefaro, Guillaume Doisy, Cyrill Stachniss:
Kinematic-ICP: Enhancing LiDAR Odometry with Kinematic Constraints for Wheeled Mobile Robots Moving on Planar Surfaces. CoRR abs/2410.10277 (2024) - [i68]Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Active Learning of Robot Vision Using Adaptive Path Planning. CoRR abs/2410.10684 (2024) - [i67]Arun Narenthiran Sivakumar, Federico Magistri, Mateus Valverde Gasparino, Jens Behley, Cyrill Stachniss, Girish Chowdhary:
AdaCropFollow: Self-Supervised Online Adaptation for Visual Under-Canopy Navigation. CoRR abs/2410.12411 (2024) - [i66]Julius Rückin, David Morilla-Cabello, Cyrill Stachniss, Eduardo Montijano, Marija Popovic:
Towards Map-Agnostic Policies for Adaptive Informative Path Planning. CoRR abs/2410.17166 (2024) - 2023
- [j88]Federico Magistri, Jan Weyler, Dario Gogoll, Philipp Lottes, Jens Behley, Nik Petrinic, Cyrill Stachniss:
From one field to another - Unsupervised domain adaptation for semantic segmentation in agricultural robotics. Comput. Electron. Agric. 212: 108114 (2023) - [j87]Lasse Peters, Vicenc Rubies-Royo, Claire J. Tomlin, Laura Ferranti, Javier Alonso-Mora, Cyrill Stachniss, David Fridovich-Keil:
Online and offline learning of player objectives from partial observations in dynamic games. Int. J. Robotics Res. 42(10): 917-937 (2023) - [j86]Clara Gómez, Alejandra C. Hernández, Ramón Barber, Cyrill Stachniss:
Localization Exploiting Semantic and Metric Information in Non-static Indoor Environments. J. Intell. Robotic Syst. 109(4): 86 (2023) - [j85]Joachim Hertzberg, Benjamin Kisliuk, Jan Christoph Krause, Cyrill Stachniss:
Interview: Cyrill Stachniss' View on AI in Agriculture. Künstliche Intell. 37(2): 133-141 (2023) - [j84]Nicky Zimmerman, Tiziano Guadagnino, Xieyuanli Chen, Jens Behley, Cyrill Stachniss:
Long-Term Localization Using Semantic Cues in Floor Plan Maps. IEEE Robotics Autom. Lett. 8(1): 176-183 (2023) - [j83]Matthias Zeller, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss:
Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data. IEEE Robotics Autom. Lett. 8(1): 344-351 (2023) - [j82]Louis Wiesmann, Lucas Nunes, Jens Behley, Cyrill Stachniss:
KPPR: Exploiting Momentum Contrast for Point Cloud-Based Place Recognition. IEEE Robotics Autom. Lett. 8(2): 592-599 (2023) - [j81]Ignacio Vizzo, Tiziano Guadagnino, Benedikt Mersch, Louis Wiesmann, Jens Behley, Cyrill Stachniss:
KISS-ICP: In Defense of Point-to-Point ICP - Simple, Accurate, and Robust Registration If Done the Right Way. IEEE Robotics Autom. Lett. 8(2): 1029-1036 (2023) - [j80]Rodrigo Marcuzzi, Lucas Nunes, Louis Wiesmann, Jens Behley, Cyrill Stachniss:
Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving. IEEE Robotics Autom. Lett. 8(2): 1141-1148 (2023) - [j79]Haofei Kuang, Xieyuanli Chen, Tiziano Guadagnino, Nicky Zimmerman, Jens Behley, Cyrill Stachniss:
IR-MCL: Implicit Representation-Based Online Global Localization. IEEE Robotics Autom. Lett. 8(3): 1627-1634 (2023) - [j78]Jan Weyler, Thomas Läbe, Federico Magistri, Jens Behley, Cyrill Stachniss:
Towards Domain Generalization in Crop and Weed Segmentation for Precision Farming Robots. IEEE Robotics Autom. Lett. 8(6): 3310-3317 (2023) - [j77]Elias Marks, Matteo Sodano, Federico Magistri, Louis Wiesmann, Dhagash Desai, Rodrigo Marcuzzi, Jens Behley, Cyrill Stachniss:
High Precision Leaf Instance Segmentation for Phenotyping in Point Clouds Obtained Under Real Field Conditions. IEEE Robotics Autom. Lett. 8(8): 4791-4798 (2023) - [j76]Louis Wiesmann, Tiziano Guadagnino, Ignacio Vizzo, Nicky Zimmerman, Yue Pan, Haofei Kuang, Jens Behley, Cyrill Stachniss:
LocNDF: Neural Distance Field Mapping for Robot Localization. IEEE Robotics Autom. Lett. 8(8): 4999-5006 (2023) - [j75]Benedikt Mersch, Tiziano Guadagnino, Xieyuanli Chen, Ignacio Vizzo, Jens Behley, Cyrill Stachniss:
Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation. IEEE Robotics Autom. Lett. 8(8): 5180-5187 (2023) - [j74]Yue Linn Chong, Jan Weyler, Philipp Lottes, Jens Behley, Cyrill Stachniss:
Unsupervised Generation of Labeled Training Images for Crop-Weed Segmentation in New Fields and on Different Robotic Platforms. IEEE Robotics Autom. Lett. 8(8): 5259-5266 (2023) - [j73]Gianmarco Roggiolani, Federico Magistri, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss:
Unsupervised Pre-Training for 3D Leaf Instance Segmentation. IEEE Robotics Autom. Lett. 8(11): 7448-7455 (2023) - [j72]Rodrigo Marcuzzi, Lucas Nunes, Louis Wiesmann, Elias Marks, Jens Behley, Cyrill Stachniss:
Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Sequences. IEEE Robotics Autom. Lett. 8(11): 7487-7494 (2023) - [j71]Hao Dong, Xieyuanli Chen, Simo Särkkä, Cyrill Stachniss:
Online pole segmentation on range images for long-term LiDAR localization in urban environments. Robotics Auton. Syst. 159: 104283 (2023) - [j70]Mehul Arora, Louis Wiesmann, Xieyuanli Chen, Cyrill Stachniss:
Static map generation from 3D LiDAR point clouds exploiting ground segmentation. Robotics Auton. Syst. 159: 104287 (2023) - [j69]Felix Stache, Jonas Westheider, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Adaptive path planning for UAVs for multi-resolution semantic segmentation. Robotics Auton. Syst. 159: 104288 (2023) - [j68]Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
An Informative Path Planning Framework for Active Learning in UAV-Based Semantic Mapping. IEEE Trans. Robotics 39(6): 4279-4296 (2023) - [c167]Lucas Nunes, Louis Wiesmann, Rodrigo Marcuzzi, Xieyuanli Chen, Jens Behley, Cyrill Stachniss:
Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving. CVPR 2023: 5217-5228 - [c166]Hanna Müller, Nicky Zimmerman, Tommaso Polonelli, Michele Magno, Jens Behley, Cyrill Stachniss, Luca Benini:
Fully On-board Low-Power Localization with Multizone Time-of-Flight Sensors on Nano-UAVs. DATE 2023: 1-6 - [c165]Matteo Sodano, Federico Magistri, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss:
Robust Double-Encoder Network for RGB-D Panoptic Segmentation. ICRA 2023: 4953-4959 - [c164]Hao Dong, Xieyuanli Chen, Mihai Dusmanu, Viktor Larsson, Marc Pollefeys, Cyrill Stachniss:
Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors. ICRA 2023: 6189-6195 - [c163]Matthias Zeller, Vardeep S. Sandhu, Benedikt Mersch, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss:
Radar Velocity Transformer: Single-scan Moving Object Segmentation in Noisy Radar Point Clouds. ICRA 2023: 7054-7061 - [c162]Xingguang Zhong, Yue Pan, Jens Behley, Cyrill Stachniss:
SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations. ICRA 2023: 8371-8377 - [c161]Gianmarco Roggiolani, Matteo Sodano, Tiziano Guadagnino, Federico Magistri, Jens Behley, Cyrill Stachniss:
Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain. ICRA 2023: 9601-9607 - [c160]Shane Kelly, Alessandro Riccardi, Elias Marks, Federico Magistri, Tiziano Guadagnino, Margarita Chli, Cyrill Stachniss:
Target-Aware Implicit Mapping for Agricultural Crop Inspection. ICRA 2023: 9608-9614 - [c159]Alessandro Riccardi, Shane Kelly, Elias Marks, Federico Magistri, Tiziano Guadagnino, Jens Behley, Maren Bennewitz, Cyrill Stachniss:
Fruit Tracking Over Time Using High-Precision Point Clouds. ICRA 2023: 9630-9636 - [c158]Gianmarco Roggiolani, Federico Magistri, Tiziano Guadagnino, Jan Weyler, Giorgio Grisetti, Cyrill Stachniss, Jens Behley:
On Domain-Specific Pre- Training for Effective Semantic Perception in Agricultural Robotics. ICRA 2023: 11786-11793 - [c157]Nicky Zimmerman, Matteo Sodano, Elias Marks, Jens Behley, Cyrill Stachniss:
Constructing Metric-Semantic Maps Using Floor Plan Priors for Long-Term Indoor Localization. IROS 2023: 1366-1372 - [c156]Luca Lobefaro, Meher V. R. Malladi, Olga Vysotska, Tiziano Guadagnino, Cyrill Stachniss:
Estimating 4D Data Associations Towards Spatial-Temporal Mapping of Growing Plants for Agricultural Robots. IROS 2023: 4212-4218 - [c155]Yue Pan, Federico Magistri, Thomas Läbe, Elias Marks, Claus Smitt, Chris McCool, Jens Behley, Cyrill Stachniss:
Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots. IROS 2023: 4226-4233 - [c154]Yash Goel, Narunas Vaskevicius, Luigi Palmieri, Nived Chebrolu, Kai O. Arras, Cyrill Stachniss:
Semantically Informed MPC for Context-Aware Robot Exploration. IROS 2023: 11218-11225 - [c153]Ignacio Vizzo, Benedikt Mersch, Lucas Nunes, Louis Wiesmann, Tiziano Guadagnino, Cyrill Stachniss:
Toward Reproducible Version-Controlled Perception Platforms: Embracing Simplicity in Autonomous Vehicle Dataset Acquisition. ITSC 2023: 5838-5845 - [c152]Hyungtae Lim, Lucas Nunes, Benedikt Mersch, Xieyuanli Chen, Jens Behley, Hyun Myung, Cyrill Stachniss:
ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes. Robotics: Science and Systems 2023 - [i65]Lasse Peters, Vicenc Rubies-Royo, Claire J. Tomlin, Laura Ferranti, Javier Alonso-Mora, Cyrill Stachniss, David Fridovich-Keil:
Learning Players' Objectives in Continuous Dynamic Games from Partial State Observations. CoRR abs/2302.01999 (2023) - [i64]Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
An Informative Path Planning Framework for Active Learning in UAV-based Semantic Mapping. CoRR abs/2302.03347 (2023) - [i63]Huan Yin, Xuecheng Xu, Sha Lu, Xieyuanli Chen, Rong Xiong, Shaojie Shen, Cyrill Stachniss, Yue Wang:
A Survey on Global LiDAR Localization. CoRR abs/2302.07433 (2023) - [i62]Yue Pan, Federico Magistri, Thomas Läbe, Elias Marks, Claus Smitt, Chris McCool, Jens Behley, Cyrill Stachniss:
Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots. CoRR abs/2303.08923 (2023) - [i61]Nicky Zimmerman, Matteo Sodano, Elias Marks, Jens Behley, Cyrill Stachniss:
Long-Term Indoor Localization with Metric-Semantic Mapping using a Floor Plan Prior. CoRR abs/2303.10959 (2023) - [i60]Gianmarco Roggiolani, Federico Magistri, Tiziano Guadagnino, Jan Weyler, Giorgio Grisetti, Cyrill Stachniss, Jens Behley:
On Domain-Specific Pre-Training for Effective Semantic Perception in Agricultural Robotics. CoRR abs/2303.12499 (2023) - [i59]Jan Weyler, Federico Magistri, Elias Marks, Yue Linn Chong, Matteo Sodano, Gianmarco Roggiolani, Nived Chebrolu, Cyrill Stachniss, Jens Behley:
PhenoBench - A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain. CoRR abs/2306.04557 (2023) - [i58]Benedikt Mersch, Tiziano Guadagnino, Xieyuanli Chen, Ignacio Vizzo, Jens Behley, Cyrill Stachniss:
Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation. CoRR abs/2307.08314 (2023) - [i57]Claus Smitt, Michael Halstead, Patrick Zimmer, Thomas Läbe, Esra Guclu, Cyrill Stachniss, Chris McCool:
PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics. CoRR abs/2309.05339 (2023) - [i56]Matthias Zeller, Vardeep S. Sandhu, Benedikt Mersch, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss:
Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds. CoRR abs/2309.16435 (2023) - [i55]Yibin Wu, Tiziano Guadagnino, Louis Wiesmann, Lasse Klingbeil, Cyrill Stachniss, Heiner Kuhlmann:
LIO-EKF: High Frequency LiDAR-Inertial Odometry using Extended Kalman Filters. CoRR abs/2311.09887 (2023) - [i54]Ribana Roscher, Lukas Roth, Cyrill Stachniss, Achim Walter:
Data-Centric Digital Agriculture: A Perspective. CoRR abs/2312.03437 (2023) - [i53]Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning. CoRR abs/2312.04402 (2023) - [i52]Elias Marks, Jonas Bömer, Federico Magistri, Anurag Sah, Jens Behley, Cyrill Stachniss:
BonnBeetClouds3D: A Dataset Towards Point Cloud-based Organ-level Phenotyping of Sugar Beet Plants under Field Conditions. CoRR abs/2312.14706 (2023) - 2022
- [j67]Xieyuanli Chen, Thomas Läbe, Andres Milioto, Timo Röhling, Jens Behley, Cyrill Stachniss:
OverlapNet: a siamese network for computing LiDAR scan similarity with applications to loop closing and localization. Auton. Robots 46(1): 61-81 (2022) - [j66]Shijie Li, Xieyuanli Chen, Yun Liu, Dengxin Dai, Cyrill Stachniss, Juergen Gall:
Multi-Scale Interaction for Real-Time LiDAR Data Segmentation on an Embedded Platform. IEEE Robotics Autom. Lett. 7(2): 738-745 (2022) - [j65]Rodrigo Marcuzzi, Lucas Nunes, Louis Wiesmann, Ignacio Vizzo, Jens Behley, Cyrill Stachniss:
Contrastive Instance Association for 4D Panoptic Segmentation Using Sequences of 3D LiDAR Scans. IEEE Robotics Autom. Lett. 7(2): 1550-1557 (2022) - [j64]Lucas Nunes, Rodrigo Marcuzzi, Xieyuanli Chen, Jens Behley, Cyrill Stachniss:
SegContrast: 3D Point Cloud Feature Representation Learning Through Self-Supervised Segment Discrimination. IEEE Robotics Autom. Lett. 7(2): 2116-2123 (2022) - [j63]Jan Weyler, Jan Quakernack, Philipp Lottes, Jens Behley, Cyrill Stachniss:
Joint Plant and Leaf Instance Segmentation on Field-Scale UAV Imagery. IEEE Robotics Autom. Lett. 7(2): 3787-3794 (2022) - [j62]Xieyuanli Chen, Benedikt Mersch, Lucas Nunes, Rodrigo Marcuzzi, Ignacio Vizzo, Jens Behley, Cyrill Stachniss:
Automatic Labeling to Generate Training Data for Online LiDAR-Based Moving Object Segmentation. IEEE Robotics Autom. Lett. 7(3): 6107-6114 (2022) - [j61]Louis Wiesmann, Tiziano Guadagnino, Ignacio Vizzo, Giorgio Grisetti, Jens Behley, Cyrill Stachniss:
DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments. IEEE Robotics Autom. Lett. 7(3): 6327-6334 (2022) - [j60]Benedikt Mersch, Xieyuanli Chen, Ignacio Vizzo, Lucas Nunes, Jens Behley, Cyrill Stachniss:
Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions. IEEE Robotics Autom. Lett. 7(3): 7503-7510 (2022) - [j59]Tiziano Guadagnino, Xieyuanli Chen, Matteo Sodano, Jens Behley, Giorgio Grisetti, Cyrill Stachniss:
Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images. IEEE Robotics Autom. Lett. 7(3): 7597-7604 (2022) - [j58]Ignacio Vizzo, Benedikt Mersch, Rodrigo Marcuzzi, Louis Wiesmann, Jens Behley, Cyrill Stachniss:
Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments. IEEE Robotics Autom. Lett. 7(3): 8534-8541 (2022) - [j57]Lucas Nunes, Xieyuanli Chen, Rodrigo Marcuzzi, Aljosa Osep, Laura Leal-Taixé, Cyrill Stachniss, Jens Behley:
Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles. IEEE Robotics Autom. Lett. 7(4): 8713-8720 (2022) - [j56]Federico Magistri, Elias Marks, Sumanth Nagulavancha, Ignacio Vizzo, Thomas Läbe, Jens Behley, Michael Halstead, Chris McCool, Cyrill Stachniss:
Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots Using RGB-D Frames. IEEE Robotics Autom. Lett. 7(4): 10120-10127 (2022) - [j55]Ignacio Vizzo, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss:
VDBFusion: Flexible and Efficient TSDF Integration of Range Sensor Data. Sensors 22(3): 1296 (2022) - [c151]Elias Marks, Federico Magistri, Cyrill Stachniss:
Precise 3D Reconstruction of Plants from UAV Imagery Combining Bundle Adjustment and Template Matching. ICRA 2022: 2259-2265 - [c150]Louis Wiesmann, Rodrigo Marcuzzi, Cyrill Stachniss, Jens Behley:
Retriever: Point Cloud Retrieval in Compressed 3D Maps. ICRA 2022: 10925-10932 - [c149]Nicky Zimmerman, Louis Wiesmann, Tiziano Guadagnino, Thomas Läbe, Jens Behley, Cyrill Stachniss:
Robust Onboard Localization in Changing Environments Exploiting Text Spotting. IROS 2022: 917-924 - [c148]Jingtao Sun, Yaonan Wang, Mingtao Feng, Danwei Wang, Jiawen Zhao, Cyrill Stachniss, Xieyuanli Chen:
ICK-Track: A Category-Level 6-DoF Pose Tracker Using Inter-Frame Consistent Keypoints for Aerial Manipulation. IROS 2022: 1556-1563 - [c147]Yue Pan, Yves Kompis, Luca Bartolomei, Ruben Mascaro, Cyrill Stachniss, Margarita Chli:
Voxfield: Non-Projective Signed Distance Fields for Online Planning and 3D Reconstruction. IROS 2022: 5331-5338 - [c146]Luca Di Giammarino, Leonardo Brizi, Tiziano Guadagnino, Cyrill Stachniss, Giorgio Grisetti:
MD-SLAM: Multi-cue Direct SLAM. IROS 2022: 11047-11054 - [c145]Julius Rückin, Liren Jin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Informative Path Planning for Active Learning in Aerial Semantic Mapping. IROS 2022: 11932-11939 - [c144]Lasse Peters, David Fridovich-Keil, Laura Ferranti