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ORCIDCyrill Stachniss
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- affiliation: University of Freiburg, Germany
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2020 – today
- 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) - [c118]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 - [c117]Lorenzo Nardi, Cyrill Stachniss:
Long-Term Robot Navigation in Indoor Environments Estimating Patterns in Traversability Changes. ICRA 2020: 300-306 - [c116]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 - [c115]Nived Chebrolu, Thomas Läbe, Cyrill Stachniss:
Spatio-Temporal Non-Rigid Registration of 3D Point Clouds of Plants. ICRA 2020: 3112-3118 - [c114]Alireza Ahmadi, Lorenzo Nardi, Nived Chebrolu, Cyrill Stachniss:
Visual Servoing-based Navigation for Monitoring Row-Crop Fields. ICRA 2020: 4920-4926 - [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) - [c113]Fan Yan, Olga Vysotska, Cyrill Stachniss:
Global Localization on OpenStreetMap Using 4-bit Semantic Descriptors. ECMR 2019: 1-7 - [c112]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 - [c111]Kaihong Huang, Junhao Xiao, Cyrill Stachniss:
Accurate Direct Visual-Laser Odometry with Explicit Occlusion Handling and Plane Detection. ICRA 2019: 1295-1301 - [c110]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 - [c109]Lorenzo Nardi, Cyrill Stachniss:
Actively Improving Robot Navigation On Different Terrains Using Gaussian Process Mixture Models. ICRA 2019: 4104-4110 - [c108]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 - [c107]Lorenzo Nardi, Cyrill Stachniss:
Uncertainty-Aware Path Planning for Navigation on Road Networks Using Augmented MDPs. ICRA 2019: 5780-5786 - [c106]Daniel Wilbers, Christian Merfels, Cyrill Stachniss:
Localization with Sliding Window Factor Graphs on Third-Party Maps for Automated Driving. ICRA 2019: 5951-5957 - [c105]Andres Milioto, Cyrill Stachniss:
Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs. ICRA 2019: 7094-7100 - [c104]Robert Schirmer, Peter Biber, Cyrill Stachniss:
Coverage Path Planning in Belief Space. ICRA 2019: 7604-7610 - [c103]Daniel Wilbers, Lars Rumberg, Cyrill Stachniss:
Approximating Marginalization with Sparse Global Priors for Sliding Window SLAM-Graphs. IRC 2019: 25-31 - [c102]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 - [c101]Andres Milioto, Ignacio Vizzo, Jens Behley, Cyrill Stachniss:
RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation. IROS 2019: 4213-4220 - [c100]Xieyuanli Chen, Andres Milioto, Emanuele Palazzolo, Philippe Giguère, Jens Behley, Cyrill Stachniss:
SuMa++: Efficient LiDAR-based Semantic SLAM. IROS 2019: 4530-4537 - [c99]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) - [c98]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 - [c97]Bartolomeo Della Corte, Igor Bogoslavskyi, Cyrill Stachniss, Giorgio Grisetti:
A General Framework for Flexible Multi-Cue Photometric Point Cloud Registration. ICRA 2018: 1-8 - [c96]Kaihong Huang, Cyrill Stachniss:
On Geometric Models and Their Accuracy for Extrinsic Sensor Calibration. ICRA 2018: 1-9 - [c95]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 - [c94]Emanuele Palazzolo, Cyrill Stachniss:
Fast Image-Based Geometric Change Detection Given a 3D Model. ICRA 2018: 6308-6315 - [c93]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 - [c92]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 - [c91]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 Hörferlin, 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) - [c90]Philipp Lottes, Raghav Khanna, Johannes Pfeifer, Roland Siegwart, Cyrill Stachniss:
UAV-based crop and weed classification for smart farming. ICRA 2017: 3024-3031 - [c89]Kaihong Huang, Cyrill Stachniss:
Extrinsic multi-sensor calibration for mobile robots using the Gauss-Helmert model. IROS 2017: 1490-1496 - [c88]Robert Schirmer, Peter Biber, Cyrill Stachniss:
Efficient path planning in belief space for safe navigation. IROS 2017: 2857-2863 - [c87]Philipp Lottes, Cyrill Stachniss:
Semi-supervised online visual crop and weed classification in precision farming exploiting plant arrangement. IROS 2017: 5155-5161 - [c86]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) - [c85]Igor Bogoslavskyi, Mladen Mazuran, Cyrill Stachniss:
Robust homing for autonomous robots. ICRA 2016: 2550-2556 - [c84]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 - [c83]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 - [c82]Igor Bogoslavskyi, Cyrill Stachniss:
Fast range image-based segmentation of sparse 3D laser scans for online operation. IROS 2016: 163-169 - [c81]Lorenzo Nardi, Cyrill Stachniss:
Experience-based path planning for mobile robots exploiting user preferences. IROS 2016: 1170-1176 - [c80]Christian Merfels, Cyrill Stachniss:
Pose fusion with chain pose graphs for automated driving. IROS 2016: 3116-3123 - [c79]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
- [j26]Rainer Kümmerle, Michael Ruhnke, Bastian Steder, Cyrill Stachniss, Wolfram Burgard:
Autonomous Robot Navigation in Highly Populated Pedestrian Zones. J. Field Robotics 32(4): 565-589 (2015) - [c78]Nichola Abdo, Cyrill Stachniss, Luciano Spinello, Wolfram Burgard:
Robot, organize my shelves! Tidying up objects by predicting user preferences. ICRA 2015: 1557-1564 - [c77]Igor Bogoslavskyi, Luciano Spinello, Wolfram Burgard, Cyrill Stachniss:
Where to park? minimizing the expected time to find a parking space. ICRA 2015: 2147-2152 - [c76]Daniel Perea Strom, Fabrizio Nenci, Cyrill Stachniss:
Predictive exploration considering previously mapped environments. ICRA 2015: 2761-2766 - [c75]Olga Vysotska, Tayyab Naseer, Luciano Spinello, Wolfram Burgard, Cyrill Stachniss:
Efficient and effective matching of image sequences under substantial appearance changes exploiting GPS priors. ICRA 2015: 2774-2779 - [c74]Tayyab Naseer, Michael Ruhnke, Cyrill Stachniss, Luciano Spinello, Wolfram Burgard:
Robust visual SLAM across seasons. IROS 2015: 2529-2535 - [i2]Nichola Abdo, Cyrill Stachniss, Luciano Spinello, Wolfram Burgard:
Collaborative Filtering for Predicting User Preferences for Organizing Objects. CoRR abs/1512.06362 (2015) - 2014
- [j25]Cyrill Stachniss, Wolfram Burgard:
Particle Filters for Robot Navigation. Found. Trends Robotics 3(4): 211-282 (2014) - [j24]Pratik Agarwal, Wolfram Burgard, Cyrill Stachniss:
Survey of Geodetic Mapping Methods: Geodetic Approaches to Mapping and the Relationship to Graph-Based SLAM. IEEE Robotics Autom. Mag. 21(3): 63-80 (2014) - [j23]Kai M. Wurm, Henrik Kretzschmar, Rainer Kümmerle, Cyrill Stachniss, Wolfram Burgard:
Identifying vegetation from laser data in structured outdoor environments. Robotics Auton. Syst. 62(5): 675-684 (2014) - [j22]Barbara Frank, Cyrill Stachniss, Rüdiger Schmedding, Matthias Teschner, Wolfram Burgard:
Learning object deformation models for robot motion planning. Robotics Auton. Syst. 62(8): 1153-1174 (2014) - [c73]Tayyab Naseer, Luciano Spinello, Wolfram Burgard, Cyrill Stachniss:
Robust Visual Robot Localization Across Seasons Using Network Flows. AAAI 2014: 2564-2570 - [c72]Seigo Ito, Felix Endres, Markus Kuderer, Gian Diego Tipaldi, Cyrill Stachniss, Wolfram Burgard:
W-RGB-D: Floor-plan-based indoor global localization using a depth camera and WiFi. ICRA 2014: 417-422 - [c71]Nichola Abdo, Luciano Spinello, Wolfram Burgard, Cyrill Stachniss:
Inferring what to imitate in manipulation actions by using a recommender system. ICRA 2014: 1203-1208 - [c70]Stefan Oßwald, Henrik Kretzschmar, Wolfram Burgard, Cyrill Stachniss:
Learning to give route directions from human demonstrations. ICRA 2014: 3303-3308 - [c69]Pratik Agarwal, Wolfram Burgard, Cyrill Stachniss:
Helmert's and Bowie's geodetic mapping methods and their relation to graph-based SLAM. ICRA 2014: 3619-3625 - [c68]Pratik Agarwal, Giorgio Grisetti, Gian Diego Tipaldi, Luciano Spinello, Wolfram Burgard, Cyrill Stachniss:
Experimental analysis of dynamic covariance scaling for robust map optimization under bad initial estimates. ICRA 2014: 3626-3631 - [c67]Mladen Mazuran, Gian Diego Tipaldi, Luciano Spinello, Wolfram Burgard, Cyrill Stachniss:
A statistical measure for map consistency in SLAM. ICRA 2014: 3650-3655 - [c66]Olga Vysotska, Barbara Frank, István Ulbert, Oliver Paul, Patrick Ruther, Cyrill Stachniss, Wolfram Burgard:
Automatic channel selection and neural signal estimation across channels of neural probes. IROS 2014: 1453-1459 - [c65]Fabrizio Nenci, Luciano Spinello, Cyrill Stachniss:
Effective compression of range data streams for remote robot operations using H.264. IROS 2014: 3794-3799 - [i1]Jürgen Sturm, Cyrill Stachniss, Wolfram Burgard:
A Probabilistic Framework for Learning Kinematic Models of Articulated Objects. CoRR abs/1405.7705 (2014) - 2013
- [j21]Armin Hornung, Kai M. Wurm, Maren Bennewitz, Cyrill Stachniss, Wolfram Burgard:
OctoMap: an efficient probabilistic 3D mapping framework based on octrees. Auton. Robots 34(3): 189-206 (2013) - [j20]Kai M. Wurm, Christian Dornhege, Bernhard Nebel, Wolfram Burgard, Cyrill Stachniss:
Coordinating heterogeneous teams of robots using temporal symbolic planning. Auton. Robots 34(4): 277-294 (2013) - [j19]Daniel Maier, Cyrill Stachniss, Maren Bennewitz:
Vision-Based humanoid Navigation using Self-Supervised Obstacle Detection. Int. J. Humanoid Robotics 10(2) (2013) - [c64]Igor Bogoslavskyi, Olga Vysotska, Jacopo Serafin, Giorgio Grisetti, Cyrill Stachniss:
Efficient traversability analysis for mobile robots using the Kinect sensor. ECMR 2013: 158-163 - [c63]Wolfram Burgard, Cyrill Stachniss:
Robotics: Probabilistic Methods for State Estimation and Control. GI-Jahrestagung 2013: 150 - [c62]Pratik Agarwal, Gian Diego Tipaldi, Luciano Spinello, Cyrill Stachniss, Wolfram Burgard:
Robust map optimization using dynamic covariance scaling. ICRA 2013: 62-69 - [c61]Nichola Abdo, Henrik Kretzschmar, Luciano Spinello, Cyrill Stachniss:
Learning manipulation actions from a few demonstrations. ICRA 2013: 1268-1275 - [c60]Rainer Kümmerle, Michael Ruhnke, Bastian Steder, Cyrill Stachniss, Wolfram Burgard:
A navigation system for robots operating in crowded urban environments. ICRA 2013: 3225-3232 - [c59]Vittorio A. Ziparo, Marco Zaratti, Giorgio Grisetti, Taigo Maria Bonanni, Jacopo Serafin, Maurilio Di Cicco, Marc Proesmans, Luc Van Gool, Olga Vysotska, Igor Bogoslavskyi, Cyrill Stachniss:
Exploration and mapping of catacombs with mobile robots. SSRR 2013: 1-2 - 2012
- [j18]Henrik Kretzschmar, Cyrill Stachniss:
Information-theoretic compression of pose graphs for laser-based SLAM. Int. J. Robotics Res. 31(11): 1219-1230 (2012) - [c58]Jorg Rowekamper, Christoph Sprunk, Gian Diego Tipaldi, Cyrill Stachniss, Patrick Pfaff, Wolfram Burgard:
On the position accuracy of mobile robot localization based on particle filters combined with scan matching. IROS 2012: 3158-3164 - [c57]Dominik Joho, Gian Diego Tipaldi, Nikolas Engelhard, Cyrill Stachniss, Wolfram Burgard:
Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction. Robotics: Science and Systems 2012 - [e2]Cyrill Stachniss, Kerstin Schill, David H. Uttal:
Spatial Cognition VIII - International Conference, Spatial Cognition 2012, Kloster Seeon, Germany, August 31 - September 3, 2012. Proceedings. Lecture Notes in Computer Science 7463, Springer 2012, ISBN 978-3-642-32731-5 [contents] - 2011
- [j17]Jürgen Sturm, Cyrill Stachniss, Wolfram Burgard:
A Probabilistic Framework for Learning Kinematic Models of Articulated Objects. J. Artif. Intell. Res. 41: 477-526 (2011) - [c56]Barbara Frank, Cyrill Stachniss, Nichola Abdo, Wolfram Burgard:
Using Gaussian Process Regression for Efficient Motion Planning in Environments with Deformable Objects. Automated Action Planning for Autonomous Mobile Robots 2011 - [c55]Rainer Kümmerle, Giorgio Grisetti, Cyrill Stachniss, Wolfram Burgard:
Simultaneous parameter calibration, localization, and mapping for robust service robotics. ARSO 2011: 76-79 - [c54]Daniel Maier, Maren Bennewitz, Cyrill Stachniss:
Self-supervised obstacle detection for humanoid navigation using monocular vision and sparse laser data. ICRA 2011: 1263-1269 - [c53]Jakob Ziegler, Henrik Kretzschmar, Cyrill Stachniss, Giorgio Grisetti, Wolfram Burgard:
Accurate human motion capture in large areas by combining IMU- and laser-based people tracking. IROS 2011: 86-91 - [c52]Henrik Kretzschmar, Cyrill Stachniss, Giorgio Grisetti:
Efficient information-theoretic graph pruning for graph-based SLAM with laser range finders. IROS 2011: 865-871 - [c51]Barbara Frank, Cyrill Stachniss, Nichola Abdo, Wolfram Burgard:
Efficient motion planning for manipulation robots in environments with deformable objects. IROS 2011: 2180-2185 - [c50]Kai M. Wurm, Daniel Hennes, Dirk Holz, Radu Bogdan Rusu, Cyrill Stachniss, Kurt Konolige, Wolfram Burgard:
Hierarchies of octrees for efficient 3D mapping. IROS 2011: 4249-4255 - [c49]Cyrill Stachniss, Henrik Kretzschmar:
Pose Graph Compression for Laser-Based SLAM. ISRR 2011: 271-287 - 2010
- [j16]Giorgio Grisetti, Rainer Kümmerle, Cyrill Stachniss, Wolfram Burgard:
A Tutorial on Graph-Based SLAM. IEEE Intell. Transp. Syst. Mag. 2(4): 31-43 (2010) - [j15]Cyrill Stachniss, Stefan B. Williams, José Neira:
Editorial: Visual navigation and mapping outdoors. J. Field Robotics 27(5): 509-510 (2010) - [j14]