Jens Behley
Orcid: 0000-0001-6483-0319
According to our database1,
Jens Behley
authored at least 92 papers
between 2009 and 2024.
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Bibliography
2024
PhenoBench: A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Joint Intrinsic and Extrinsic Calibration of Perception Systems Utilizing a Calibration Environment.
IEEE Robotics Autom. Lett., October, 2024
Improving Robotic Fruit Harvesting Within Cluttered Environments Through 3D Shape Completion.
IEEE Robotics Autom. Lett., August, 2024
IEEE Robotics Autom. Lett., February, 2024
Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds.
IEEE Trans. Robotics, 2024
PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency.
IEEE Trans. Robotics, 2024
CoRR, 2024
HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds From Heterogeneous LiDAR Sensors.
CoRR, 2024
CoRR, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Tree Instance Segmentation and Traits Estimation for Forestry Environments Exploiting LiDAR Data Collected by Mobile Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Efficient and Accurate Transformer-Based 3D Shape Completion and Reconstruction of Fruits for Agricultural Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
IEEE Robotics Autom. Lett., November, 2023
IEEE Robotics Autom. Lett., November, 2023
From one field to another - Unsupervised domain adaptation for semantic segmentation in agricultural robotics.
Comput. Electron. Agric., September, 2023
Towards Domain Generalization in Crop and Weed Segmentation for Precision Farming Robots.
IEEE Robotics Autom. Lett., June, 2023
IEEE Robotics Autom. Lett., March, 2023
IEEE Robotics Autom. Lett., 2023
IEEE Robotics Autom. Lett., 2023
Wheel-SLAM: Simultaneous Localization and Terrain Mapping Using One Wheel-Mounted IMU.
IEEE Robotics Autom. Lett., 2023
IEEE Robotics Autom. Lett., 2023
IEEE Robotics Autom. Lett., 2023
KISS-ICP: In Defense of Point-to-Point ICP - Simple, Accurate, and Robust Registration If Done the Right Way.
IEEE Robotics Autom. Lett., 2023
Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation.
IEEE Robotics Autom. Lett., 2023
High Precision Leaf Instance Segmentation for Phenotyping in Point Clouds Obtained Under Real Field Conditions.
IEEE Robotics Autom. Lett., 2023
IEEE Robotics Autom. Lett., 2023
Unsupervised Generation of Labeled Training Images for Crop-Weed Segmentation in New Fields and on Different Robotic Platforms.
IEEE Robotics Autom. Lett., 2023
BonnBeetClouds3D: A Dataset Towards Point Cloud-based Organ-level Phenotyping of Sugar Beet Plants under Field Conditions.
CoRR, 2023
CoRR, 2023
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023
Constructing Metric-Semantic Maps Using Floor Plan Priors for Long-Term Indoor Localization.
IROS, 2023
IROS, 2023
SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Radar Velocity Transformer: Single-scan Moving Object Segmentation in Noisy Radar Point Clouds.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
On Domain-Specific Pre- Training for Effective Semantic Perception in Agricultural Robotics.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Fully On-board Low-Power Localization with Multizone Time-of-Flight Sensors on Nano-UAVs.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Sensors, 2022
IEEE Robotics Autom. Lett., 2022
IEEE Robotics Autom. Lett., 2022
Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments.
IEEE Robotics Autom. Lett., 2022
SegContrast: 3D Point Cloud Feature Representation Learning Through Self-Supervised Segment Discrimination.
IEEE Robotics Autom. Lett., 2022
Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles.
IEEE Robotics Autom. Lett., 2022
IEEE Robotics Autom. Lett., 2022
Contrastive Instance Association for 4D Panoptic Segmentation Using Sequences of 3D LiDAR Scans.
IEEE Robotics Autom. Lett., 2022
Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots Using RGB-D Frames.
IEEE Robotics Autom. Lett., 2022
Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images.
IEEE Robotics Autom. Lett., 2022
Automatic Labeling to Generate Training Data for Online LiDAR-Based Moving Object Segmentation.
IEEE Robotics Autom. Lett., 2022
OverlapNet: a siamese network for computing LiDAR scan similarity with applications to loop closing and localization.
Auton. Robots, 2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
2021
Joint Plant Instance Detection and Leaf Count Estimation for In-Field Plant Phenotyping.
IEEE Robotics Autom. Lett., 2021
Moving Object Segmentation in 3D LiDAR Data: A Learning-Based Approach Exploiting Sequential Data.
IEEE Robotics Autom. Lett., 2021
IEEE Robotics Autom. Lett., 2021
Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset.
Int. J. Robotics Res., 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021
2020
Robust joint stem detection and crop-weed classification using image sequences for plant-specific treatment in precision farming.
J. Field Robotics, 2020
Proceedings of the Robotics: Science and Systems XVI, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
2019
ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2018
Fully Convolutional Networks With Sequential Information for Robust Crop and Weed Detection in Precision Farming.
IEEE Robotics Autom. Lett., 2018
Proceedings of the Robotics: Science and Systems XIV, 2018
Joint Stem Detection and Crop-Weed Classification for Plant-Specific Treatment in Precision Farming.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
2015
Proceedings of the IEEE International Conference on Robotics and Automation, 2015
2013
PhD thesis, 2013
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
2012
Performance of histogram descriptors for the classification of 3D laser range data in urban environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012
2011
Person tracking in three-dimensional laser range data with explicit occlusion adaption.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
2010
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010
2009
Proceedings of the Computer Vision Systems, 2009