Jens Behley

Orcid: 0000-0001-6483-0319

According to our database¹, Jens Behley authored at least 82 papers between 2009 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Panoptic Segmentation With Partial Annotations for Agricultural Robots.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., February, 2024

Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2024

Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion.

[BibT_eX]

[DOI]

CoRR, 2024

Open-World Semantic Segmentation Including Class Similarity.

[BibT_eX]

[DOI]

CoRR, 2024

PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Unsupervised Pre-Training for 3D Leaf Instance Segmentation.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., November, 2023

Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Sequences.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., November, 2023

From one field to another - Unsupervised domain adaptation for semantic segmentation in agricultural robotics.

[BibT_eX]

[DOI]

Comput. Electron. Agric., September, 2023

Towards Domain Generalization in Crop and Weed Segmentation for Precision Farming Robots.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., June, 2023

IR-MCL: Implicit Representation-Based Online Global Localization.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., March, 2023

Long-Term Localization Using Semantic Cues in Floor Plan Maps.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2023

Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2023

Wheel-SLAM: Simultaneous Localization and Terrain Mapping Using One Wheel-Mounted IMU.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2023

KPPR: Exploiting Momentum Contrast for Point Cloud-Based Place Recognition.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2023

LocNDF: Neural Distance Field Mapping for Robot Localization.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2023

KISS-ICP: In Defense of Point-to-Point ICP - Simple, Accurate, and Robust Registration If Done the Right Way.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2023

Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2023

High Precision Leaf Instance Segmentation for Phenotyping in Point Clouds Obtained Under Real Field Conditions.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2023

Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2023

Unsupervised Generation of Labeled Training Images for Crop-Weed Segmentation in New Fields and on Different Robotic Platforms.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2023

BonnBeetClouds3D: A Dataset Towards Point Cloud-based Organ-level Phenotyping of Sugar Beet Plants under Field Conditions.

[BibT_eX]

[DOI]

CoRR, 2023

PhenoBench - A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain.

[BibT_eX]

[DOI]

CoRR, 2023

Long-Term Indoor Localization with Metric-Semantic Mapping using a Floor Plan Prior.

[BibT_eX]

[DOI]

CoRR, 2023

ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Constructing Metric-Semantic Maps Using Floor Plan Priors for Long-Term Indoor Localization.

[BibT_eX]

[DOI]

IROS, 2023

Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots.

[BibT_eX]

[DOI]

IROS, 2023

SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Radar Velocity Transformer: Single-scan Moving Object Segmentation in Noisy Radar Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Robust Double-Encoder Network for RGB-D Panoptic Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

On Domain-Specific Pre- Training for Effective Semantic Perception in Agricultural Robotics.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Fruit Tracking Over Time Using High-Precision Point Clouds.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

VDBFusion: Flexible and Efficient TSDF Integration of Range Sensor Data.

[BibT_eX]

[DOI]

Sensors, 2022

DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Joint Plant and Leaf Instance Segmentation on Field-Scale UAV Imagery.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

SegContrast: 3D Point Cloud Feature Representation Learning Through Self-Supervised Segment Discrimination.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Contrastive Instance Association for 4D Panoptic Segmentation Using Sequences of 3D LiDAR Scans.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots Using RGB-D Frames.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Automatic Labeling to Generate Training Data for Online LiDAR-Based Moving Object Segmentation.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

OverlapNet: a siamese network for computing LiDAR scan similarity with applications to loop closing and localization.

[BibT_eX]

[DOI]

Auton. Robots, 2022

In-Field Phenotyping Based on Crop Leaf and Plant Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Robust Onboard Localization in Changing Environments Exploiting Text Spotting.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Retriever: Point Cloud Retrieval in Compressed 3D Maps.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Deep Compression for Dense Point Cloud Maps.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Joint Plant Instance Detection and Leaf Count Estimation for In-Field Plant Phenotyping.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Moving Object Segmentation in 3D LiDAR Data: A Learning-Based Approach Exploiting Sequential Data.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Adaptive Robust Kernels for Non-Linear Least Squares Problems.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2021

Improving Monocular Depth Estimation by Semantic Pre-training.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Poisson Surface Reconstruction for LiDAR Odometry and Mapping.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Range Image-based LiDAR Localization for Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI.

[BibT_eX]

[DOI]

Jens Behley

Andres Milioto

Cyrill Stachniss

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

4D Panoptic LiDAR Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Field Robotics, 2020

OverlapNet: Loop Closing for LiDAR-based SLAM.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVI, 2020

LiDAR Panoptic Segmentation for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning an Overlap-based Observation Model for 3D LiDAR Localization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

A Dataset for Semantic Segmentation of Point Cloud Sequences.

[BibT_eX]

[DOI]

CoRR, 2019

ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

SuMa++: Efficient LiDAR-based Semantic SLAM.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Hyperspectral Plant Disease Forecasting Using Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2018

Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments.

[BibT_eX]

[DOI]

Jens Behley

Cyrill Stachniss

Proceedings of the Robotics: Science and Systems XIV, 2018

Joint Stem Detection and Crop-Weed Classification for Plant-Specific Treatment in Precision Farming.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2015

Efficient radius neighbor search in three-dimensional point clouds.

[BibT_eX]

[DOI]

Jens Behley

Volker Steinhage

Armin B. Cremers

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2013

Three-dimensional laser-based classification in outdoor environments.

[BibT_eX]

[DOI]

Jens Behley

PhD thesis, 2013

Laser-based segment classification using a mixture of bag-of-words.

[BibT_eX]

[DOI]

Jens Behley

Volker Steinhage

Armin B. Cremers

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.

[BibT_eX]

[DOI]

Jens Behley

Volker Steinhage

Armin B. Cremers

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2011

Person tracking in three-dimensional laser range data with explicit occlusion adaption.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010

Learning to hash logistic regression for fast 3D scan point classification.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

2009

Generation of 3D City Models Using Domain-Specific Information Fusion.

[BibT_eX]

[DOI]

Jens Behley

Volker Steinhage

Proceedings of the Computer Vision Systems, 2009

Jens Behley

Timeline

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