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2020 – today
- 2023
[j26]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)- [j25]Yibin Wu, Jian Kuang, Xiaoji Niu, Jens Behley, Lasse Klingbeil, Heiner Kuhlmann:
Wheel-SLAM: Simultaneous Localization and Terrain Mapping Using One Wheel-Mounted IMU. IEEE Robotics Autom. Lett. 8(1): 280-287 (2023) - [j24]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) - [j23]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) - [j22]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) - [j21]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) - [j20]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) - [i26]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) - [i25]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
- [j19]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) - [j18]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) - [j17]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) - [j16]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) - [j15]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) - [j14]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) - [j13]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) - [j12]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) - [j11]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) - [j10]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) - [j9]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) - [j8]Ignacio Vizzo, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss:
VDBFusion: Flexible and Efficient TSDF Integration of Range Sensor Data. Sensors 22(3): 1296 (2022) - [c27]Louis Wiesmann, Rodrigo Marcuzzi, Cyrill Stachniss, Jens Behley:
Retriever: Point Cloud Retrieval in Compressed 3D Maps. ICRA 2022: 10925-10932 - [c26]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 - [c25]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 - [i24]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) - [i23]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) - [i22]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) - [i21]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) - [i20]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) - [i19]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) - [i18]Matteo Sodano, Federico Magistri, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss:
Robust Double-Encoder Network for RGB-D Panoptic Segmentation. CoRR abs/2210.02834 (2022) - [i17]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) - [i16]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) - [i15]Yibin Wu, Jian Kuang, Xiaoji Niu, Jens Behley, Lasse Klingbeil, Heiner Kuhlmann:
Wheel-SLAM: Simultaneous Localization and Terrain Mapping Using One Wheel-mounted IMU. CoRR abs/2211.03174 (2022) - [i14]Matthias Zeller, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss:
Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data. CoRR abs/2212.03690 (2022) - 2021
- [j7]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) - [j6]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) - [j5]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) - [j4]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) - [j3]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) - [c24]Benedikt Mersch, Xieyuanli Chen, Jens Behley, Cyrill Stachniss:
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks. CoRL 2021: 1444-1454 - [c23]Mehmet Aygun, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé:
4D Panoptic LiDAR Segmentation. CVPR 2021: 5527-5537 - [c22]Ignacio Vizzo, Xieyuanli Chen, Nived Chebrolu, Jens Behley, Cyrill Stachniss:
Poisson Surface Reconstruction for LiDAR Odometry and Mapping. ICRA 2021: 5624-5630 - [c21]Xieyuanli Chen, Ignacio Vizzo, Thomas Läbe, Jens Behley, Cyrill Stachniss:
Range Image-based LiDAR Localization for Autonomous Vehicles. ICRA 2021: 5802-5808 - [c20]Jens Behley, Andres Milioto, Cyrill Stachniss:
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI. ICRA 2021: 13596-13603 - [c19]Federico Magistri, Nived Chebrolu, Jens Behley, Cyrill Stachniss:
Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss. ICRA 2021: 13960-13966 - [c18]Peter Rottmann, Thorbjörn Posewsky, Andres Milioto, Cyrill Stachniss, Jens Behley:
Improving Monocular Depth Estimation by Semantic Pre-training. IROS 2021: 5916-5923 - [i13]Mehmet Aygün, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé:
4D Panoptic LiDAR Segmentation. CoRR abs/2102.12472 (2021) - [i12]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) - [i11]Xieyuanli Chen, Andres Milioto, Emanuele Palazzolo, Philippe Giguère, Jens Behley, Cyrill Stachniss:
SuMa++: Efficient LiDAR-based Semantic SLAM. CoRR abs/2105.11320 (2021) - [i10]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) - [i9]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) - [i8]Xieyuanli Chen, Ignacio Vizzo, Thomas Läbe, Jens Behley, Cyrill Stachniss:
Range Image-based LiDAR Localization for Autonomous Vehicles. CoRR abs/2105.12121 (2021) - [i7]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
- [j2]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) - [c17]Xieyuanli Chen, Thomas Läbe, Lorenzo Nardi, Jens Behley, Cyrill Stachniss:
Learning an Overlap-based Observation Model for 3D LiDAR Localization. IROS 2020: 4602-4608 - [c16]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 - [c15]Andres Milioto, Jens Behley, Chris McCool, Cyrill Stachniss:
LiDAR Panoptic Segmentation for Autonomous Driving. IROS 2020: 8505-8512 - [c14]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 - [i6]Jens Behley, Andres Milioto, Cyrill Stachniss:
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI. CoRR abs/2003.02371 (2020) - [i5]Nived Chebrolu, Thomas Läbe, Olga Vysotska, Jens Behley, Cyrill Stachniss:
Adaptive Robust Kernels for Non-Linear Least Squares Problems. CoRR abs/2004.14938 (2020)
2010 – 2019
- 2019
- [c13]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 - [c12]Alina Förster, Jens Behley, Jan Behmann, Ribana Roscher:
Hyperspectral Plant Disease Forecasting Using Generative Adversarial Networks. IGARSS 2019: 1793-1796 - [c11]Andres Milioto, Ignacio Vizzo, Jens Behley, Cyrill Stachniss:
RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation. IROS 2019: 4213-4220 - [c10]Xieyuanli Chen, Andres Milioto, Emanuele Palazzolo, Philippe Giguère, Jens Behley, Cyrill Stachniss:
SuMa++: Efficient LiDAR-based Semantic SLAM. IROS 2019: 4530-4537 - [c9]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 - [i4]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) - [i3]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) - 2018
- [j1]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) - [c8]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 - [c7]Jens Behley, Cyrill Stachniss:
Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments. Robotics: Science and Systems 2018 - [i2]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) - [i1]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) - 2015
- [c6]Jens Behley, Volker Steinhage, Armin B. Cremers:
Efficient radius neighbor search in three-dimensional point clouds. ICRA 2015: 3625-3630 - 2013
- [b1]Jens Behley:
Three-dimensional laser-based classification in outdoor environments. University of Bonn, 2013, pp. 1-122 - [c5]Jens Behley, Volker Steinhage, Armin B. Cremers:
Laser-based segment classification using a mixture of bag-of-words. IROS 2013: 4195-4200 - 2012
- [c4]Jens Behley, Volker Steinhage, Armin B. Cremers:
Performance of histogram descriptors for the classification of 3D laser range data in urban environments. ICRA 2012: 4391-4398 - 2011
- [c3]Florian Schöler, Jens Behley, Volker Steinhage, Dirk Schulz, Armin B. Cremers:
Person tracking in three-dimensional laser range data with explicit occlusion adaption. ICRA 2011: 1297-1303 - 2010
- [c2]Jens Behley, Kristian Kersting, Dirk Schulz, Volker Steinhage, Armin B. Cremers:
Learning to hash logistic regression for fast 3D scan point classification. IROS 2010: 5960-5965
2000 – 2009
- 2009
- [c1]Jens Behley, Volker Steinhage:
Generation of 3D City Models Using Domain-Specific Information Fusion. ICVS 2009: 164-173
Coauthor Index
[j26] [j24] [j23] [j22] [j21] [j20] [i26] [i25] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [c27] [c26] [c25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i14] [j7] [j6] [j5] [j4] [j3] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [j2] [c17] [c16] [c15] [c14] [i6] [i5] [c13] [c11] [c10] [c9] [i4] [i3] [j1] [c8] [c7] [i2] [i1]
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