Jens Behley

Orcid: 0000-0001-6483-0319

According to our database1, Jens Behley authored at least 92 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 

Links

Online presence:

On csauthors.net:

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

SPR: Single-Scan Radar Place Recognition.
IEEE Robotics Autom. Lett., October, 2024

Improving Robotic Fruit Harvesting Within Cluttered Environments Through 3D Shape Completion.
IEEE Robotics Autom. Lett., August, 2024

Panoptic Segmentation With Partial Annotations for Agricultural Robots.
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

AdaCropFollow: Self-Supervised Online Adaptation for Visual Under-Canopy Navigation.
CoRR, 2024

HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds From Heterogeneous LiDAR Sensors.
CoRR, 2024

A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics.
CoRR, 2024

Radar Tracker: Moving Instance Tracking in Sparse and Noisy Radar Point Clouds.
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

3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural Representation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Open-World Semantic Segmentation Including Class Similarity.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Unsupervised Pre-Training for 3D Leaf Instance Segmentation.
IEEE Robotics Autom. Lett., November, 2023

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

IR-MCL: Implicit Representation-Based Online Global Localization.
IEEE Robotics Autom. Lett., March, 2023

Long-Term Localization Using Semantic Cues in Floor Plan Maps.
IEEE Robotics Autom. Lett., 2023

Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data.
IEEE Robotics Autom. Lett., 2023

Wheel-SLAM: Simultaneous Localization and Terrain Mapping Using One Wheel-Mounted IMU.
IEEE Robotics Autom. Lett., 2023

KPPR: Exploiting Momentum Contrast for Point Cloud-Based Place Recognition.
IEEE Robotics Autom. Lett., 2023

LocNDF: Neural Distance Field Mapping for Robot Localization.
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

Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving.
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

Long-Term Indoor Localization with Metric-Semantic Mapping using a Floor Plan Prior.
CoRR, 2023

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

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

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

Fruit Tracking Over Time Using High-Precision Point Clouds.
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
VDBFusion: Flexible and Efficient TSDF Integration of Range Sensor Data.
Sensors, 2022

DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments.
IEEE Robotics Autom. Lett., 2022

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

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

In-Field Phenotyping Based on Crop Leaf and Plant Instance Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Robust Onboard Localization in Changing Environments Exploiting Text Spotting.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Retriever: Point Cloud Retrieval in Compressed 3D Maps.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Deep Compression for Dense Point Cloud Maps.
IEEE Robotics Autom. Lett., 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

Adaptive Robust Kernels for Non-Linear Least Squares Problems.
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

Improving Monocular Depth Estimation by Semantic Pre-training.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Poisson Surface Reconstruction for LiDAR Odometry and Mapping.
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

Range Image-based LiDAR Localization for Autonomous Vehicles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

4D Panoptic LiDAR Segmentation.
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

OverlapNet: Loop Closing for LiDAR-based SLAM.
Proceedings of the Robotics: Science and Systems XVI, 2020

LiDAR Panoptic Segmentation for Autonomous Driving.
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.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning an Overlap-based Observation Model for 3D LiDAR Localization.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
A Dataset for Semantic Segmentation of Point Cloud Sequences.
CoRR, 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

RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

SuMa++: Efficient LiDAR-based Semantic SLAM.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Hyperspectral Plant Disease Forecasting Using Generative Adversarial Networks.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

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

Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments.
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
Efficient radius neighbor search in three-dimensional point clouds.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2013
Three-dimensional laser-based classification in outdoor environments.
PhD thesis, 2013

Laser-based segment classification using a mixture of bag-of-words.
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
Learning to hash logistic regression for fast 3D scan point classification.
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.
Proceedings of the Computer Vision Systems, 2009


  Loading...