Jens Behley

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 110

Top Venues

CoRR

IEEE Robotics Autom. Lett.

ICRA

IROS

University of Bonn (PHD)

Education History

University of Bonn

PHD

Publications

Matteo Sodano, Federico Magistri, Lucas Nunes, Jens Behley, Cyrill Stachniss
Open-World Semantic Segmentation Including Class Similarity. CoRR (2024)
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 (2024)
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)
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) (2024)
Xingguang Zhong, Yue Pan, Cyrill Stachniss, Jens Behley
3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural Representation. CoRR (2024)
Lucas Nunes, Rodrigo Marcuzzi, Benedikt Mersch, Jens Behley, Cyrill Stachniss
Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion. CoRR (2024)
Jan Weyler, Thomas Läbe, Jens Behley, Cyrill Stachniss
Panoptic Segmentation With Partial Annotations for Agricultural Robots. IEEE Robotics Autom. Lett. 9 (2) (2024)
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 (2024)
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)
Gianmarco Roggiolani, Federico Magistri, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss
Unsupervised Pre-Training for 3D Leaf Instance Segmentation. CoRR (2024)
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)
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 (2024)
Matthias Zeller, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss
Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data. IEEE Robotics Autom. Lett. 8 (1) (2023)
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) (2023)
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)
Matteo Sodano, Federico Magistri, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss
Robust Double-Encoder Network for RGB-D Panoptic Segmentation. ICRA (2023)
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) (2023)
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 (2023)
Louis Wiesmann, Lucas Nunes, Jens Behley, Cyrill Stachniss
KPPR: Exploiting Momentum Contrast for Point Cloud-Based Place Recognition. IEEE Robotics Autom. Lett. 8 (2) (2023)
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) (2023)
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) (2023)
Rodrigo Marcuzzi, Lucas Nunes, Louis Wiesmann, Jens Behley, Cyrill Stachniss
Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving. IEEE Robotics Autom. Lett. 8 (2) (2023)
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)
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)
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)
Gianmarco Roggiolani, Federico Magistri, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss
Unsupervised Pre-Training for 3D Leaf Instance Segmentation. IEEE Robotics Autom. Lett. 8 (11) (2023)
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)
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) (2023)
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)
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 (2023)
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)
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) (2023)
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 (2023)
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) (2023)
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 (2023)
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)
Nicky Zimmerman, Matteo Sodano, Elias Marks, Jens Behley, Cyrill Stachniss
Long-Term Indoor Localization with Metric-Semantic Mapping using a Floor Plan Prior. CoRR (2023)
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 (2023)
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) (2023)
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) (2023)
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 (2023)
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)
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) (2023)
Xingguang Zhong, Yue Pan, Jens Behley, Cyrill Stachniss
SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations. ICRA (2023)
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 (2023)
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) (2022)
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) (2022)
Matthias Zeller, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss
Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data. CoRR (2022)
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 (2022)
Nicky Zimmerman, Louis Wiesmann, Tiziano Guadagnino, Thomas Läbe, Jens Behley, Cyrill Stachniss
Robust Onboard Localization in Changing Environments Exploiting Text Spotting. CoRR (2022)
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 (2022)
Ignacio Vizzo, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss
VDBFusion: Flexible and Efficient TSDF Integration of Range Sensor Data. Sensors 22 (3) (2022)
Nicky Zimmerman, Louis Wiesmann, Tiziano Guadagnino, Thomas Läbe, Jens Behley, Cyrill Stachniss
Robust Onboard Localization in Changing Environments Exploiting Text Spotting. IROS (2022)
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 (2022)
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) (2022)
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 (2022)
Nicky Zimmerman, Tiziano Guadagnino, Xieyuanli Chen, Jens Behley, Cyrill Stachniss
Long-Term Localization using Semantic Cues in Floor Plan Maps. CoRR (2022)
Jan Weyler, Federico Magistri, Peter Seitz, Jens Behley, Cyrill Stachniss
In-Field Phenotyping Based on Crop Leaf and Plant Instance Segmentation. WACV (2022)
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) (2022)
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) (2022)
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) (2022)
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 (2022)
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) (2022)
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) (2022)
Xingguang Zhong, Yue Pan, Jens Behley, Cyrill Stachniss
SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations. CoRR (2022)
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) (2022)
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) (2022)
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) (2022)
Haofei Kuang, Xieyuanli Chen, Tiziano Guadagnino, Nicky Zimmerman, Jens Behley, Cyrill Stachniss
IR-MCL: Implicit Representation-Based Online Global Localization. CoRR (2022)
Matteo Sodano, Federico Magistri, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss
Robust Double-Encoder Network for RGB-D Panoptic Segmentation. CoRR (2022)
Louis Wiesmann, Rodrigo Marcuzzi, Cyrill Stachniss, Jens Behley
Retriever: Point Cloud Retrieval in Compressed 3D Maps. ICRA (2022)
Peter Rottmann, Thorbjörn Posewsky, Andres Milioto, Cyrill Stachniss, Jens Behley
Improving Monocular Depth Estimation by Semantic Pre-training. IROS (2021)
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) (2021)
Xieyuanli Chen, Andres Milioto, Emanuele Palazzolo, Philippe Giguère, Jens Behley, Cyrill Stachniss
SuMa++: Efficient LiDAR-based Semantic SLAM. CoRR (2021)
Xieyuanli Chen, Ignacio Vizzo, Thomas Läbe, Jens Behley, Cyrill Stachniss
Range Image-based LiDAR Localization for Autonomous Vehicles. CoRR (2021)
Jens Behley, Andres Milioto, Cyrill Stachniss
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI. ICRA (2021)
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) (2021)
Mehmet Aygun, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé
4D Panoptic LiDAR Segmentation. CVPR (2021)
Xieyuanli Chen, Thomas Läbe, Lorenzo Nardi, Jens Behley, Cyrill Stachniss
Learning an Overlap-based Observation Model for 3D LiDAR Localization. CoRR (2021)
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 (2021)
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)
Benedikt Mersch, Xieyuanli Chen, Jens Behley, Cyrill Stachniss
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks. CoRR (2021)
Benedikt Mersch, Xieyuanli Chen, Jens Behley, Cyrill Stachniss
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks. CoRL (2021)
Louis Wiesmann, Andres Milioto, Xieyuanli Chen, Cyrill Stachniss, Jens Behley
Deep Compression for Dense Point Cloud Maps. IEEE Robotics Autom. Lett. 6 (2) (2021)
Xieyuanli Chen, Thomas Läbe, Andres Milioto, Timo Röhling, Olga Vysotska, Alexandre Haag, Jens Behley, Cyrill Stachniss
OverlapNet: Loop Closing for LiDAR-based SLAM. CoRR (2021)
Federico Magistri, Nived Chebrolu, Jens Behley, Cyrill Stachniss
Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss. ICRA (2021)
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) (2021)
Mehmet Aygün, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé
4D Panoptic LiDAR Segmentation. CoRR (2021)
Xieyuanli Chen, Ignacio Vizzo, Thomas Läbe, Jens Behley, Cyrill Stachniss
Range Image-based LiDAR Localization for Autonomous Vehicles. ICRA (2021)
Ignacio Vizzo, Xieyuanli Chen, Nived Chebrolu, Jens Behley, Cyrill Stachniss
Poisson Surface Reconstruction for LiDAR Odometry and Mapping. ICRA (2021)
Jens Behley, Andres Milioto, Cyrill Stachniss
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI. CoRR (2020)
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) (2020)
Andres Milioto, Jens Behley, Chris McCool, Cyrill Stachniss
LiDAR Panoptic Segmentation for Autonomous Driving. IROS (2020)
Nived Chebrolu, Thomas Läbe, Olga Vysotska, Jens Behley, Cyrill Stachniss
Adaptive Robust Kernels for Non-Linear Least Squares Problems. CoRR (2020)
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)
Ferdinand Langer, Andres Milioto, Alexandre Haag, Jens Behley, Cyrill Stachniss
Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks. IROS (2020)
Xieyuanli Chen, Thomas Läbe, Lorenzo Nardi, Jens Behley, Cyrill Stachniss
Learning an Overlap-based Observation Model for 3D LiDAR Localization. IROS (2020)
Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, Juergen Gall
A Dataset for Semantic Segmentation of Point Cloud Sequences. CoRR (2019)
Andres Milioto, Ignacio Vizzo, Jens Behley, Cyrill Stachniss
RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation. IROS (2019)
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)

Jens Behley.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jens Behley