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ORCIDCyrill Stachniss
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- affiliation: University of Freiburg, Germany
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2020 – today
- 2022
[j54]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)- [i33]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) - 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]Jens Behley, Andres Milioto, Cyrill Stachniss:
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI. CoRR abs/2003.02371 (2020) - [i17]Jan Quenzel, Radu Alexandru Rosu, Thomas Läbe, Cyrill Stachniss, Sven Behnke:
Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching. CoRR abs/2004.04090 (2020) - [i16]Nived Chebrolu, Thomas Läbe, Olga Vysotska, Jens Behley, Cyrill Stachniss:
Adaptive Robust Kernels for Non-Linear Least Squares Problems. CoRR abs/2004.14938 (2020) - [i15]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. CoRR abs/2008.09162 (2020)
2010 – 2019
- 2019
- [j41]Olga Vysotska, Cyrill Stachniss:
Effective Visual Place Recognition Using Multi-Sequence Maps. IEEE Robotics Autom. Lett. 4(2): 1730-1736 (2019) - [c114]Fan Yan, Olga Vysotska, Cyrill Stachniss:
Global Localization on OpenStreetMap Using 4-bit Semantic Descriptors. ECMR 2019: 1-7 - [c113]Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, Jürgen Gall:
SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences. ICCV 2019: 9296-9306 - [c112]Kaihong Huang, Junhao Xiao, Cyrill Stachniss:
Accurate Direct Visual-Laser Odometry with Explicit Occlusion Handling and Plane Detection. ICRA 2019: 1295-1301 - [c111]Nived Chebrolu, Philipp Lottes, Thomas Läbe, Cyrill Stachniss:
Robot Localization Based on Aerial Images for Precision Agriculture Tasks in Crop Fields. ICRA 2019: 1787-1793 - [c110]Lorenzo Nardi, Cyrill Stachniss:
Actively Improving Robot Navigation On Different Terrains Using Gaussian Process Mixture Models. ICRA 2019: 4104-4110 - [c109]Andres Milioto, Leonard P. Mandtler, Cyrill Stachniss:
Fast Instance and Semantic Segmentation Exploiting Local Connectivity, Metric Learning, and One-Shot Detection for Robotics. ICRA 2019: 5481-5487 - [c108]Lorenzo Nardi, Cyrill Stachniss:
Uncertainty-Aware Path Planning for Navigation on Road Networks Using Augmented MDPs. ICRA 2019: 5780-5786 - [c107]Daniel Wilbers, Christian Merfels, Cyrill Stachniss:
Localization with Sliding Window Factor Graphs on Third-Party Maps for Automated Driving. ICRA 2019: 5951-5957 - [c106]Andres Milioto, Cyrill Stachniss:
Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs. ICRA 2019: 7094-7100 - [c105]Robert Schirmer, Peter Biber, Cyrill Stachniss:
Coverage Path Planning in Belief Space. ICRA 2019: 7604-7610 - [c104]Daniel Wilbers, Lars Rumberg, Cyrill Stachniss:
Approximating Marginalization with Sparse Global Priors for Sliding Window SLAM-Graphs. IRC 2019: 25-31 - [c103]Daniel Wilbers, Christian Merfels, Cyrill Stachniss:
A Comparison of Particle Filter and Graph-Based Optimization for Localization with Landmarks in Automated Vehicles. IRC 2019: 220-225 - [c102]Andres Milioto, Ignacio Vizzo, Jens Behley, Cyrill Stachniss:
RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation. IROS 2019: 4213-4220 - [c101]Xieyuanli Chen, Andres Milioto, Emanuele Palazzolo, Philippe Giguère, Jens Behley, Cyrill Stachniss:
SuMa++: Efficient LiDAR-based Semantic SLAM. IROS 2019: 4530-4537 - [c100]Emanuele Palazzolo, Jens Behley, Philipp Lottes, Philippe Giguère, Cyrill Stachniss:
ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals. IROS 2019: 7855-7862 - [i14]Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, Juergen Gall:
A Dataset for Semantic Segmentation of Point Cloud Sequences. CoRR abs/1904.01416 (2019) - [i13]Emanuele Palazzolo, Jens Behley, Philipp Lottes, Philippe Giguère, Cyrill Stachniss:
ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals. CoRR abs/1905.02082 (2019) - [i12]Lorenzo Nardi, Cyrill Stachniss:
Long-Term Robot Navigation in Indoor Environments Estimating Patterns in Traversability Changes. CoRR abs/1909.12733 (2019) - [i11]Alireza Ahmadi, Lorenzo Nardi, Nived Chebrolu, Cyrill Stachniss:
Visual Servoing-based Navigation for Monitoring Row-Crop Fields. CoRR abs/1909.12754 (2019) - [i10]Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard, Nived Chebrolu, Christian Dornhege, Tillmann Falck, Freya 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. CoRR abs/1911.03098 (2019) - 2018
- [j40]Jaehoon Jung, Cyrill Stachniss, Sungha Ju, Joon Heo:
Automated 3D volumetric reconstruction of multiple-room building interiors for as-built BIM. Adv. Eng. Informatics 38: 811-825 (2018) - [j39]Philipp Lottes, Jens Behley, Andres Milioto, Cyrill Stachniss:
Fully Convolutional Networks With Sequential Information for Robust Crop and Weed Detection in Precision Farming. IEEE Robotics Autom. Lett. 3(4): 2870-2877 (2018) - [j38]Nived Chebrolu, Thomas Läbe, Cyrill Stachniss:
Robust Long-Term Registration of UAV Images of Crop Fields for Precision Agriculture. IEEE Robotics Autom. Lett. 3(4): 3097-3104 (2018) - [j37]Inkyu Sa, Marija Popovic, Raghav Khanna, Zetao Chen, Philipp Lottes, Frank Liebisch, Juan I. Nieto, Cyrill Stachniss, Achim Walter, Roland Siegwart:
WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming. Remote. Sens. 10(9): 1423 (2018) - [j36]Tayyab Naseer, Wolfram Burgard, Cyrill Stachniss:
Robust Visual Localization Across Seasons. IEEE Trans. Robotics 34(2): 289-302 (2018) - [c99]Peter Regier, Andres Milioto, Philipp Karkowski, Cyrill Stachniss, Maren Bennewitz:
Classifying Obstacles and Exploiting Knowledge About Classes for Efficient Humanoid Navigation. Humanoids 2018: 820-826 - [c98]Bartolomeo Della Corte, Igor Bogoslavskyi, Cyrill Stachniss, Giorgio Grisetti:
A General Framework for Flexible Multi-Cue Photometric Point Cloud Registration. ICRA 2018: 1-8 - [c97]Kaihong Huang, Cyrill Stachniss:
On Geometric Models and Their Accuracy for Extrinsic Sensor Calibration. ICRA 2018: 1-9 - [c96]Andres Milioto, Philipp Lottes, Cyrill Stachniss:
Real-Time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs. ICRA 2018: 2229-2235 - [c95]Emanuele Palazzolo, Cyrill Stachniss:
Fast Image-Based Geometric Change Detection Given a 3D Model. ICRA 2018: 6308-6315 - [c94]Kaihong Huang, Cyrill Stachniss:
Joint Ego-motion Estimation Using a Laser Scanner and a Monocular Camera Through Relative Orientation Estimation and 1-DoF ICP. IROS 2018: 671-677 - [c93]Philipp Lottes, Jens Behley, Nived Chebrolu, Andres Milioto, Cyrill Stachniss:
Joint Stem Detection and Crop-Weed Classification for Plant-Specific Treatment in Precision Farming. IROS 2018: 8233-8238 - [c92]Jens Behley, Cyrill Stachniss:
Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments. Robotics: Science and Systems 2018 - [i9]Andres Milioto, Cyrill Stachniss:
Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs. CoRR abs/1802.08960 (2018) - [i8]Philipp Lottes, Jens Behley, Andres Milioto, Cyrill Stachniss:
Fully Convolutional Networks with Sequential Information for Robust Crop and Weed Detection in Precision Farming. CoRR abs/1806.03412 (2018) - [i7]Philipp Lottes, Jens Behley, Nived Chebrolu, Andres Milioto, Cyrill Stachniss:
Joint Stem Detection and Crop-Weed Classification for Plant-specific Treatment in Precision Farming. CoRR abs/1806.03413 (2018) - [i6]Inkyu Sa, Marija Popovic, Raghav Khanna, Zetao Chen, Philipp Lottes, Frank Liebisch, Juan I. Nieto, Cyrill Stachniss, Roland Siegwart:
WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming. CoRR abs/1808.00100 (2018) - [i5]Ferdinand Langer, Leonard P. Mandtler, Andres Milioto, Emanuele Palazzolo, Cyrill Stachniss:
Geometrical Stem Detection from Image Data for Precision Agriculture. CoRR abs/1812.05415 (2018) - 2017
- [j35]Jaehoon Jung, Cyrill Stachniss, Changjae Kim:
Automatic Room Segmentation of 3D Laser Data Using Morphological Processing. ISPRS Int. J. Geo Inf. 6(7): 206 (2017) - [j34]Nived Chebrolu, Philipp Lottes, Alexander Schaefer, Wera Winterhalter, Wolfram Burgard, Cyrill Stachniss:
Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields. Int. J. Robotics Res. 36(10): 1045-1052 (2017) - [j33]Philipp Lottes, Markus Höferlin, Slawomir Sander, Cyrill Stachniss:
Effective Vision-based Classification for Separating Sugar Beets and Weeds for Precision Farming. J. Field Robotics 34(6): 1160-1178 (2017) - [j32]Daniel Perea Strom, Igor Bogoslavskyi, Cyrill Stachniss:
Robust exploration and homing for autonomous robots. Robotics Auton. Syst. 90: 125-135 (2017) - [j31]Lorenzo Nardi, Cyrill Stachniss:
User preferred behaviors for robot navigation exploiting previous experiences. Robotics Auton. Syst. 97: 204-216 (2017) - [c91]Philipp Lottes, Raghav Khanna, Johannes Pfeifer, Roland Siegwart, Cyrill Stachniss:
UAV-based crop and weed classification for smart farming. ICRA 2017: 3024-3031 - [c90]Kaihong Huang, Cyrill Stachniss:
Extrinsic multi-sensor calibration for mobile robots using the Gauss-Helmert model. IROS 2017: 1490-1496 - [c89]Robert Schirmer, Peter Biber, Cyrill Stachniss:
Efficient path planning in belief space for safe navigation. IROS 2017: 2857-2863 - [c88]Philipp Lottes, Cyrill Stachniss:
Semi-supervised online visual crop and weed classification in precision farming exploiting plant arrangement. IROS 2017: 5155-5161 - [c87]Igor Bogoslavskyi, Cyrill Stachniss:
Analyzing the quality of matched 3D point clouds of objects. IROS 2017: 6685-6690 - [i4]Bartolomeo Della Corte, Igor Bogoslavskyi, Cyrill Stachniss, Giorgio Grisetti:
A General Framework for Flexible Multi-Cue Photometric Point Cloud Registration. CoRR abs/1709.05945 (2017) - [i3]Andres Milioto, Philipp Lottes, Cyrill Stachniss:
Real-time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs. CoRR abs/1709.06764 (2017) - 2016
- [j30]Nichola Abdo, Cyrill Stachniss, Luciano Spinello, Wolfram Burgard:
Organizing objects by predicting user preferences through collaborative filtering. Int. J. Robotics Res. 35(13): 1587-1608 (2016) - [j29]Olga Vysotska, Cyrill Stachniss:
Lazy Data Association For Image Sequences Matching Under Substantial Appearance Changes. IEEE Robotics Autom. Lett. 1(1): 213-220 (2016) - [j28]Johannes Schneider, Cyrill Stachniss, Wolfgang Förstner:
On the Accuracy of Dense Fisheye Stereo. IEEE Robotics Autom. Lett. 1(1): 227-234 (2016) - [j27]Stefan Oßwald, Maren Bennewitz, Wolfram Burgard, Cyrill Stachniss:
Speeding-Up Robot Exploration by Exploiting Background Information. IEEE Robotics Autom. Lett. 1(2): 716-723 (2016) - [c86]Igor Bogoslavskyi, Mladen Mazuran, Cyrill Stachniss:
Robust homing for autonomous robots. ICRA 2016: 2550-2556 - [c85]Johannes Schneider, Christian Eling, Lasse Klingbeil, Heiner Kuhlmann, Wolfgang Förstner, Cyrill Stachniss:
Fast and effective online pose estimation and mapping for UAVs. ICRA 2016: 4784-4791 - [c84]Philipp Lottes, Markus Hoeferlin, Slawomir Sander, Matthias Muter, Peter Schulze Lammers, Cyrill Stachniss:
An effective classification system for separating sugar beets and weeds for precision farming applications. ICRA 2016: 5157-5163 - [c83]Igor Bogoslavskyi, Cyrill Stachniss:
Fast range image-based segmentation of sparse 3D laser scans for online operation. IROS 2016: 163-169 - [c82]Lorenzo Nardi, Cyrill Stachniss:
Experience-based path planning for mobile robots exploiting user preferences. IROS 2016: 1170-1176 - [c81]Christian Merfels, Cyrill Stachniss:
Pose fusion with chain pose graphs for automated driving. IROS 2016: 3116-3123 - [c80]Olga Vysotska, Cyrill Stachniss:
Exploiting building information from publicly available maps in graph-based SLAM. IROS 2016: 4511-4516 - [p1]Cyrill Stachniss, John J. Leonard, Sebastian Thrun:
Simultaneous Localization and Mapping. Springer Handbook of Robotics, 2nd Ed. 2016: 1153-1176 - 2015
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