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ORCIDCyrill Stachniss
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- affiliation: University of Freiburg, Germany
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2020 – today
- 2023
[j76]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)- [j75]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) - [j74]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) - [j73]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) - [j72]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) - [j71]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) - [j70]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) - [j69]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) - [j68]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) - [i56]Lasse Peters, Vicenç Rúbies 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) - [i55]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) - [i54]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) - [i53]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) - [i52]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) - 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) - [c150]Elias Marks, Federico Magistri, Cyrill Stachniss:
Precise 3D Reconstruction of Plants from UAV Imagery Combining Bundle Adjustment and Template Matching. ICRA 2022: 2259-2265 - [c149]Louis Wiesmann, Rodrigo Marcuzzi, Cyrill Stachniss, Jens Behley:
Retriever: Point Cloud Retrieval in Compressed 3D Maps. ICRA 2022: 10925-10932 - [c148]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 - [c147]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 - [c146]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 - [c145]Luca Di Giammarino, Leonardo Brizi, Tiziano Guadagnino, Cyrill Stachniss, Giorgio Grisetti:
MD-SLAM: Multi-cue Direct SLAM. IROS 2022: 11047-11054 - [c144]Julius Rückin, Liren Jin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Informative Path Planning for Active Learning in Aerial Semantic Mapping. IROS 2022: 11932-11939 - [c143]Jan Weyler, Federico Magistri, Peter Seitz, Jens Behley, Cyrill Stachniss:
In-Field Phenotyping Based on Crop Leaf and Plant Instance Segmentation. WACV 2022: 2968-2977 - [i51]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. CoRR abs/2201.04501 (2022) - [i50]Felix Stache, Jonas Westheider, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Adaptive Path Planning for UAVs for Multi-Resolution Semantic Segmentation. CoRR abs/2203.01642 (2022) - [i49]Julius Rückin, Liren Jin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Informative Path Planning for Active Learning in Aerial Semantic Mapping. CoRR abs/2203.01652 (2022) - [i48]Junyi Ma, Jun Zhang, Jintao Xu, Rui Ai, Weihao Gu, Cyrill Stachniss, Xieyuanli Chen:
OverlapTransformer: An Efficient and Rotation-Invariant Transformer Network for LiDAR-Based Place Recognition. CoRR abs/2203.03397 (2022) - [i47]Carlos Carbone, Dario Albani, Federico Magistri, Dimitri Ognibene, Cyrill Stachniss, Gert Kootstra, Daniele Nardi, Vito Trianni:
Monitoring and mapping of crop fields with UAV swarms based on information gain. CoRR abs/2203.11766 (2022) - [i46]Nicky Zimmerman, Louis Wiesmann, Tiziano Guadagnino, Thomas Läbe, Jens Behley, Cyrill Stachniss:
Robust Onboard Localization in Changing Environments Exploiting Text Spotting. CoRR abs/2203.12647 (2022) - [i45]Luca Di Giammarino, Leonardo Brizi, Tiziano Guadagnino, Cyrill Stachniss, Giorgio Grisetti:
MD-SLAM: Multi-cue Direct SLAM. CoRR abs/2203.13237 (2022) - [i44]Lasse Peters, David Fridovich-Keil, Laura Ferranti, Cyrill Stachniss, Javier Alonso-Mora, Forrest Laine:
Learning Mixed Strategies in Trajectory Games. CoRR abs/2205.00291 (2022) - [i43]Benedikt Mersch, Xieyuanli Chen, Ignacio Vizzo, Lucas Nunes, Jens Behley, Cyrill Stachniss:
Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions. CoRR abs/2206.04129 (2022) - [i42]Hao Dong, Xieyuanli Chen, Simo Särkkä, Cyrill Stachniss:
Online Pole Segmentation on Range Images for Long-term LiDAR Localization in Urban Environments. CoRR abs/2208.07364 (2022) - [i41]Hao Dong, Xieyuanli Chen, Mihai Dusmanu, Viktor Larsson, Marc Pollefeys, Cyrill Stachniss:
Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors. CoRR abs/2209.13586 (2022) - [i40]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. CoRR abs/2209.15397 (2022) - [i39]Nicky Zimmerman, Tiziano Guadagnino, Xieyuanli Chen, Jens Behley, Cyrill Stachniss:
Long-Term Localization using Semantic Cues in Floor Plan Maps. CoRR abs/2210.01456 (2022) - [i38]Xingguang Zhong, Yue Pan, Jens Behley, Cyrill Stachniss:
SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations. CoRR abs/2210.02299 (2022) - [i37]Matteo Sodano, Federico Magistri, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss:
Robust Double-Encoder Network for RGB-D Panoptic Segmentation. CoRR abs/2210.02834 (2022) - [i36]Haofei Kuang, Xieyuanli Chen, Tiziano Guadagnino, Nicky Zimmerman, Jens Behley, Cyrill Stachniss:
IR-MCL: Implicit Representation-Based Online Global Localization. CoRR abs/2210.03113 (2022) - [i35]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. CoRR abs/2210.07879 (2022) - [i34]Yash Goel, Narunas Vaskevicius, Luigi Palmieri, Nived Chebrolu, Cyrill Stachniss:
Predicting Dense and Context-aware Cost Maps for Semantic Robot Navigation. CoRR abs/2210.08952 (2022) - [i33]Matthias Zeller, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss:
Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data. CoRR abs/2212.03690 (2022) - 2021
- [j54]Abel Barreto, Philipp Lottes, Facundo Ramón Ispizua Yamati, Stephen Baumgarten, Nina Anastasia Wolf, Cyrill Stachniss, Anne-Katrin Mahlein, Stefan Paulus:
Automatic UAV-based counting of seedlings in sugar-beet field and extension to maize and strawberry. Comput. Electron. Agric. 191: 106493 (2021) - [j53]Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Jürgen Gall, Cyrill Stachniss:
Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset. Int. J. Robotics Res. 40(8-9) (2021) - [j52]Louis Wiesmann, Andres Milioto, Xieyuanli Chen, Cyrill Stachniss, Jens Behley:
Deep Compression for Dense Point Cloud Maps. IEEE Robotics Autom. Lett. 6(2): 2060-2067 (2021) - [j51]Nived Chebrolu, Thomas Läbe, Olga Vysotska, Jens Behley, Cyrill Stachniss:
Adaptive Robust Kernels for Non-Linear Least Squares Problems. IEEE Robotics Autom. Lett. 6(2): 2240-2247 (2021) - [j50]Jan Weyler, Andres Milioto, Tillmann Falck, Jens Behley, Cyrill Stachniss:
Joint Plant Instance Detection and Leaf Count Estimation for In-Field Plant Phenotyping. IEEE Robotics Autom. Lett. 6(2): 3599-3606 (2021) - [j49]Xieyuanli Chen, Shijie Li, Benedikt Mersch, Louis Wiesmann, Jürgen Gall, Jens Behley, Cyrill Stachniss:
Moving Object Segmentation in 3D LiDAR Data: A Learning-Based Approach Exploiting Sequential Data. IEEE Robotics Autom. Lett. 6(4): 6529-6536 (2021) - [j48]Chenghao Shi, Xieyuanli Chen, Kaihong Huang, Junhao Xiao, Huimin Lu, Cyrill Stachniss:
Keypoint Matching for Point Cloud Registration Using Multiplex Dynamic Graph Attention Networks. IEEE Robotics Autom. Lett. 6(4): 8221-8228 (2021) - [j47]Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard, Nived Chebrolu, Christian Dornhege, Tillmann Falck, Freya Veronika Fleckenstein, Alessandra Fontenla, Marco Imperoli, Raghav Khanna, Frank Liebisch, Philipp Lottes, Andres Milioto, Daniele Nardi, Sandro Nardi, Johannes Pfeifer, Marija Popovic, Ciro Potena, Cédric Pradalier, Elisa Rothacker-Feder, Inkyu Sa, Alexander Schaefer, Roland Siegwart, Cyrill Stachniss, Achim Walter, Wera Winterhalter, Xiaolong Wu, Juan I. Nieto:
Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution. IEEE Robotics Autom. Mag. 28(3): 29-49 (2021) - [c142]Benedikt Mersch, Xieyuanli Chen, Jens Behley, Cyrill Stachniss:
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks. CoRL 2021: 1444-1454 - [c141]Mehmet Aygun, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé:
4D Panoptic LiDAR Segmentation. CVPR 2021: 5527-5537 - [c140]Carlos Carbone, Dario Albani, Federico Magistri, Dimitri Ognibene, Cyrill Stachniss, Gert Kootstra, Daniele Nardi, Vito Trianni:
Monitoring and Mapping of Crop Fields with UAV Swarms Based on Information Gain. DARS 2021: 306-319 - [c139]Mehul Arora, Louis Wiesmann, Xieyuanli Chen, Cyrill Stachniss:
Mapping the Static Parts of Dynamic Scenes from 3D LiDAR Point Clouds Exploiting Ground Segmentation. ECMR 2021: 1-6 - [c138]Hao Dong, Xieyuanli Chen, Cyrill Stachniss:
Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments. ECMR 2021: 1-6 - [c137]Felix Stache, Jonas Westheider, Federico Magistri, Marija Popovic, Cyrill Stachniss:
Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation. ECMR 2021: 1-6 - [c136]Haofei Kuang, Yi Zhu, Zhi Zhang, Xinyu Li, Joseph Tighe, Sören Schwertfeger, Cyrill Stachniss, Mu Li:
Video Contrastive Learning with Global Context. ICCVW 2021: 3188 - [c135]Ignacio Vizzo, Xieyuanli Chen, Nived Chebrolu, Jens Behley, Cyrill Stachniss:
Poisson Surface Reconstruction for LiDAR Odometry and Mapping. ICRA 2021: 5624-5630 - [c134]Xieyuanli Chen, Ignacio Vizzo, Thomas Läbe, Jens Behley, Cyrill Stachniss:
Range Image-based LiDAR Localization for Autonomous Vehicles. ICRA 2021: 5802-5808 - [c133]Andrzej Reinke, Xieyuanli Chen, Cyrill Stachniss:
Simple But Effective Redundant Odometry for Autonomous Vehicles. ICRA 2021: 9631-9637 - [c132]Jens Behley, Andres Milioto, Cyrill Stachniss:
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI. ICRA 2021: 13596-13603 - [c131]Federico Magistri, Nived Chebrolu, Jens Behley, Cyrill Stachniss:
Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss. ICRA 2021: 13960-13966 - [c130]Luca Di Giammarino, Irvin Aloise, Cyrill Stachniss, Giorgio Grisetti:
Visual Place Recognition using LiDAR Intensity Information. IROS 2021: 4382-4389 - [c129]Benedikt Mersch, Thomas Höllen, Kun Zhao, Cyrill Stachniss, Ribana Roscher:
Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks. IROS 2021: 4888-4895 - [c128]Mengjie Zhou, Xieyuanli Chen, Noe Samano, Cyrill Stachniss, Andrew Calway:
Efficient Localisation Using Images and OpenStreetMaps. IROS 2021: 5507-5513 - [c127]Peter Rottmann, Thorbjörn Posewsky, Andres Milioto, Cyrill Stachniss, Jens Behley:
Improving Monocular Depth Estimation by Semantic Pre-training. IROS 2021: 5916-5923 - [c126]Lasse Peters, David Fridovich-Keil, Vicenç Rúbies Royo, Claire J. Tomlin, Cyrill Stachniss:
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations. Robotics: Science and Systems 2021 - [i32]Mehmet Aygün, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé:
4D Panoptic LiDAR Segmentation. CoRR abs/2102.12472 (2021) - [i31]Luca Di Giammarino, Irvin Aloise, Cyrill Stachniss, Giorgio Grisetti:
Visual Place Recognition using LiDAR Intensity Information. CoRR abs/2103.09605 (2021) - [i30]Xieyuanli Chen, Shijie Li, Benedikt Mersch, Louis Wiesmann, Jürgen Gall, Jens Behley, Cyrill Stachniss:
Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data. CoRR abs/2105.08971 (2021) - [i29]Xieyuanli Chen, Andres Milioto, Emanuele Palazzolo, Philippe Giguère, Jens Behley, Cyrill Stachniss:
SuMa++: Efficient LiDAR-based Semantic SLAM. CoRR abs/2105.11320 (2021) - [i28]Xieyuanli Chen, Thomas Läbe, Andres Milioto, Timo Röhling, Olga Vysotska, Alexandre Haag, Jens Behley, Cyrill Stachniss:
OverlapNet: Loop Closing for LiDAR-based SLAM. CoRR abs/2105.11344 (2021) - [i27]Xieyuanli Chen, Thomas Läbe, Lorenzo Nardi, Jens Behley, Cyrill Stachniss:
Learning an Overlap-based Observation Model for 3D LiDAR Localization. CoRR abs/2105.11717 (2021) - [i26]Andrzej Reinke, Xieyuanli Chen, Cyrill Stachniss:
Simple But Effective Redundant Odometry for Autonomous Vehicles. CoRR abs/2105.11783 (2021) - [i25]Xieyuanli Chen, Ignacio Vizzo, Thomas Läbe, Jens Behley, Cyrill Stachniss:
Range Image-based LiDAR Localization for Autonomous Vehicles. CoRR abs/2105.12121 (2021) - [i24]Lasse Peters, David Fridovich-Keil, Vicenç Rúbies Royo, Claire J. Tomlin, Cyrill Stachniss:
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations. CoRR abs/2106.03611 (2021) - [i23]Felix Stache, Jonas Westheider, Federico Magistri, Marija Popovic, Cyrill Stachniss:
Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation. CoRR abs/2108.01884 (2021) - [i22]Haofei Kuang, Yi Zhu, Zhi Zhang, Xinyu Li, Joseph Tighe, Sören Schwertfeger, Cyrill Stachniss, Mu Li:
Video Contrastive Learning with Global Context. CoRR abs/2108.02722 (2021) - [i21]Hao Dong, Xieyuanli Chen, Cyrill Stachniss:
Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments. CoRR abs/2108.08621 (2021) - [i20]Benedikt Mersch, Thomas Höllen, Kun Zhao, Cyrill Stachniss, Ribana Roscher:
Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks. CoRR abs/2109.07365 (2021) - [i19]Benedikt Mersch, Xieyuanli Chen, Jens Behley, Cyrill Stachniss:
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks. CoRR abs/2110.04076 (2021) - 2020
- [j46]Peter Regier, Andres Milioto, Cyrill Stachniss, Maren Bennewitz:
Classifying Obstacles and Exploiting Class Information for Humanoid Navigation Through Cluttered Environments. Int. J. Humanoid Robotics 17(2): 2050013:1-2050013:26 (2020) - [j45]Chris Lehnert, Chris McCool, Peter Corke, Inkyu Sa, Cyrill Stachniss, Eldert J. van Henten, Juan I. Nieto:
Special issue on agricultural robotics. J. Field Robotics 37(1): 5-6 (2020) - [j44]Philipp Lottes, Jens Behley, Nived Chebrolu, Andres Milioto, Cyrill Stachniss:
Robust joint stem detection and crop-weed classification using image sequences for plant-specific treatment in precision farming. J. Field Robotics 37(1): 20-34 (2020) - [j43]Chris Lehnert, Chris McCool, Cyrill Stachniss, Peter Corke, Inkyu Sa, Juan I. Nieto, Eldert J. van Henten:
JFR special issue on agricultural robotics, part 2. J. Field Robotics 37(2): 185-186 (2020) - [j42]Xiaolong Wu, Stéphanie Aravecchia, Philipp Lottes, Cyrill Stachniss, Cédric Pradalier:
Robotic weed control using automated weed and crop classification. J. Field Robotics 37(2): 322-340 (2020) - [c125]Jan Quenzel, Radu Alexandru Rosu, Thomas Läbe, Cyrill Stachniss, Sven Behnke:
Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching. ICRA 2020: 272-278 - [c124]Lorenzo Nardi, Cyrill Stachniss:
Long-Term Robot Navigation in Indoor Environments Estimating Patterns in Traversability Changes. ICRA 2020: 300-306 - [c123]Rasha Sheikh, Andres Milioto, Philipp Lottes, Cyrill Stachniss, Maren Bennewitz, Thomas Schultz:
Gradient and Log-based Active Learning for Semantic Segmentation of Crop and Weed for Agricultural Robots. ICRA 2020: 1350-1356 - [c122]Nived Chebrolu, Thomas Läbe, Cyrill Stachniss:
Spatio-Temporal Non-Rigid Registration of 3D Point Clouds of Plants. ICRA 2020: 3112-3118 - [c121]Alireza Ahmadi, Lorenzo Nardi, Nived Chebrolu, Cyrill Stachniss:
Visual Servoing-based Navigation for Monitoring Row-Crop Fields. ICRA 2020: 4920-4926 - [c120]Federico Magistri, Nived Chebrolu, Cyrill Stachniss:
Segmentation-Based 4D Registration of Plants Point Clouds for Phenotyping. IROS 2020: 2433-2439 - [c119]Dario Gogoll, Philipp Lottes, Jan Weyler, Nik Petrinic, Cyrill Stachniss:
Unsupervised Domain Adaptation for Transferring Plant Classification Systems to New Field Environments, Crops, and Robots. IROS 2020: 2636-2642 - [c118]Xieyuanli Chen, Thomas Läbe, Lorenzo Nardi, Jens Behley, Cyrill Stachniss:
Learning an Overlap-based Observation Model for 3D LiDAR Localization. IROS 2020: 4602-4608 - [c117]Ferdinand Langer, Andres Milioto, Alexandre Haag, Jens Behley, Cyrill Stachniss:
Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks. IROS 2020: 8263-8270 - [c116]Andres Milioto, Jens Behley, Chris McCool, Cyrill Stachniss:
LiDAR Panoptic Segmentation for Autonomous Driving. IROS 2020: 8505-8512 - [c115]Xieyuanli Chen, Thomas Läbe, Andres Milioto, Timo Röhling, Olga Vysotska, Alexandre Haag, Jens Behley, Cyrill Stachniss:
OverlapNet: Loop Closing for LiDAR-based SLAM. Robotics: Science and Systems 2020 - [i18]