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LabFruits: A Rapid and Robust Outdoor Fruit Detection System Combining Bio-Inspired Features with One-Stage Deep Learning Networks

Sensors (Basel, Switzerland), 2020-01, Vol.20 (1), p.275

2020

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3D‐vision based detection, localization, and sizing of broccoli heads in the field

Journal of field robotics, 2017-12, Vol.34 (8), p.1505-1518

2017

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Towards Safe Robotic Agricultural Applications: Safe Navigation System Design for a Robotic Grass-Mowing Application through the Risk Management Method

Robotics (Basel), 2023-06, Vol.12 (3), p.63

2023

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Transfer learning between crop types for semantic segmentation of crops versus weeds in precision agriculture

Journal of field robotics, 2020-01, Vol.37 (1), p.7-19

2020

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Robotic Exploration for Learning Human Motion Patterns

IEEE transactions on robotics, 2022-04, Vol.38 (2), p.1304-1318

2022

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3D shape sensing and deep learning-based segmentation of strawberries

Computers and electronics in agriculture, 2021-11, Vol.190, p.106374, Article 106374

2021

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Deep learning‐based crop row detection for infield navigation of agri‐robots

Journal of field robotics, 2023-08

2023

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Integrating Deep Semantic Segmentation Into 3-D Point Cloud Registration

IEEE robotics and automation letters, 2018-10, Vol.3 (4), p.2942-2949

2018

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Estimating soil aggregate size distribution from images using pattern spectra

Biosystems engineering, 2020-10, Vol.198, p.63-77

2020

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Bacchus Long‐Term (BLT) data set: Acquisition of the agricultural multimodal BLT data set with automated robot deployment

Journal of field robotics, 2023-08

2023

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Analysis of Morphology-Based Features for Classification of Crop and Weeds in Precision Agriculture

IEEE robotics and automation letters, 2018-10, Vol.3 (4), p.2950-2956

2018

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Optimising robotic operation speed with edge computing via 5G network: Insights from selective harvesting robots

Journal of field robotics, 2024-07

2024

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Kriging‐based robotic exploration for soil moisture mapping using a cosmic‐ray sensor

Journal of field robotics, 2020-01, Vol.37 (1), p.122-136

2020

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Inference of Mechanical Properties of Dynamic Objects Through Active Perception

Towards Autonomous Robotic Systems, p.430-439

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Visual detection of blemishes in potatoes using minimalist boosted classifiers

Journal of food engineering, 2010-06, Vol.98 (3), p.339-346

2010

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Improved data association and occlusion handling for vision-based people tracking by mobile robots

2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007, p.3436-3441

2007

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Using Additional Moderator to Control the Footprint of a COSMOS Rover for Soil Moisture Measurement

Water resources research, 2021-06, Vol.57 (6), p.n/a

2021

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Plant Phenotyping Using DLT Method: Towards Retrieving the Delicate Features in a Dynamic Environment

Towards Autonomous Robotic Systems, p.3-14

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Robust Counting of Soft Fruit Through Occlusions with Re-identification

Computer Vision Systems, p.211-222

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Active Learning for Crop-Weed Discrimination by Image Classification from Convolutional Neural Network’s Feature Pyramid Levels

Computer Vision Systems, p.245-257

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The ILIAD Safety Stack: Human-Aware Infrastructure-Free Navigation of Industrial Mobile Robots

IEEE robotics & automation magazine, 2023, p.2-13

2023

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Spectral analysis for long-term robotic mapping

2014 IEEE International Conference on Robotics and Automation (ICRA), 2014, p.3706-3711

2014

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3-D Soil Compaction Mapping Through Kriging-Based Exploration With a Mobile Robot

IEEE robotics and automation letters, 2018-10, Vol.3 (4), p.3066-3072

2018

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Non-destructive Soft Fruit Mass and Volume Estimation for Phenotyping in Horticulture

Computer Vision Systems, p.223-233

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Modelling and Predicting Rhythmic Flow Patterns in Dynamic Environments

Towards Autonomous Robotic Systems, p.135-146

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LabFruits: A Rapid and Robust Outdoor Fruit Detection System Combining Bio-Inspired Features with One-Stage Deep Learning Networks

3D‐vision based detection, localization, and sizing of broccoli heads in the field

Towards Safe Robotic Agricultural Applications: Safe Navigation System Design for a Robotic Grass-Mowing Application through the Risk Management Method

Transfer learning between crop types for semantic segmentation of crops versus weeds in precision agriculture

Robotic Exploration for Learning Human Motion Patterns

3D shape sensing and deep learning-based segmentation of strawberries

Deep learning‐based crop row detection for infield navigation of agri‐robots

Integrating Deep Semantic Segmentation Into 3-D Point Cloud Registration

Estimating soil aggregate size distribution from images using pattern spectra

Bacchus Long‐Term (BLT) data set: Acquisition of the agricultural multimodal BLT data set with automated robot deployment

Analysis of Morphology-Based Features for Classification of Crop and Weeds in Precision Agriculture

Optimising robotic operation speed with edge computing via 5G network: Insights from selective harvesting robots

Kriging‐based robotic exploration for soil moisture mapping using a cosmic‐ray sensor

Inference of Mechanical Properties of Dynamic Objects Through Active Perception

Visual detection of blemishes in potatoes using minimalist boosted classifiers

Improved data association and occlusion handling for vision-based people tracking by mobile robots

Using Additional Moderator to Control the Footprint of a COSMOS Rover for Soil Moisture Measurement

Plant Phenotyping Using DLT Method: Towards Retrieving the Delicate Features in a Dynamic Environment

Robust Counting of Soft Fruit Through Occlusions with Re-identification

Active Learning for Crop-Weed Discrimination by Image Classification from Convolutional Neural Network’s Feature Pyramid Levels

The ILIAD Safety Stack: Human-Aware Infrastructure-Free Navigation of Industrial Mobile Robots

Spectral analysis for long-term robotic mapping

3-D Soil Compaction Mapping Through Kriging-Based Exploration With a Mobile Robot

Non-destructive Soft Fruit Mass and Volume Estimation for Phenotyping in Horticulture

Modelling and Predicting Rhythmic Flow Patterns in Dynamic Environments

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