Grzegorz Cielniak

Publications

• Spectral analysis for long-term robotic mapping
• Semantic segmentation using trade-off and internal ensemble
• Go with the flow: Exploration and mapping of pedestrian flow patterns from partial observations
• Model-Based 3D Point Cloud Segmentation for Automated Selective Broccoli Harvesting
• Semantic-assisted 3D normal distributions transform for scan registration in environments with limited structure
• Eight Weeks of Episodic Visual Navigation Inside a Non-stationary Environment Using Adaptive Spherical Views
• Robotic Exploration for Learning Human Motion Patterns
• A portable navigation system with an adaptive multimodal interface for the blind
• 3D shape sensing and deep learning-based segmentation of strawberries
• Estimating soil aggregate size distribution from images using pattern spectra
• Towards Safe Robotic Agricultural Applications: Safe Navigation System Design for a Robotic Grass-Mowing Application through the Risk Management Method
• Using Additional Moderator to Control the Footprint of a COSMOS Rover for Soil Moisture Measurement
• Experimental Analysis of a Spatialised Audio Interface for People with Visual Impairments
• CostTrust: A Fast-Exploring, Iteratively Expanding Frontier-Based Kinodynamic Motion Planner
• High‐throughput phenotyping for breeding targets—Current status and future directions of strawberry trait automation
• A Unified Topological Representation for Robotic Fleets in Agricultural Applications
• ATT-NestedUnet: Sugar Beet and Weed Detection Using Semantic Segmentation
• Inference of Mechanical Properties of Dynamic Objects Through Active Perception
• Advancing precision agriculture: domain-specific augmentations and robustness testing for convolutional neural networks in precision spraying evaluation
• Bacchus Long‐Term (BLT) data set: Acquisition of the agricultural multimodal BLT data set with automated robot deployment
• Deep learning‐based crop row detection for infield navigation of agri‐robots
• Transfer learning between crop types for semantic segmentation of crops versus weeds in precision agriculture
• Kriging‐based robotic exploration for soil moisture mapping using a cosmic‐ray sensor
• Plant Phenotyping Using DLT Method: Towards Retrieving the Delicate Features in a Dynamic Environment
• An Automated Precision Spraying Evaluation System
• Key Point-Based Orientation Estimation of Strawberries for Robotic Fruit Picking
• Procedural story generation in games
• Procedural generation of race tracks in an open source racing game
• Active object search with a mobile device for people with visual impairments
• RASberry: Robotic and autonomous systems: For berry production
• Bone-conduction audio interface to guide people with visual impairments
• Connected attribute morphology for unified vegetation segmentation and classification in precision agriculture
• Modelling and predicting rhythmic flow patterns in dynamic environments
• Can you pick a broccoli? 3D-vision based detection and localisation of broccoli heads in the field
• Evaluation of Laser Range-Finder Mapping for Agricultural Spraying Vehicles
• 3D-vision based detection, localization, and sizing of broccoli heads in the field
• Indoor positioning of shoppers using a network of Bluetooth Low Energy beacons
• Dendrogram Visualization as a Game Design Tool
• Safe Human-Robot Interaction in Agriculture
• The Effectiveness of Integrating Educational Robotic Activities into Higher Education Computer Science Curricula: A Case Study in a Developing Country
• Integrating Deep Semantic Segmentation Into 3-D Point Cloud Registration
• Analysis of Morphology-Based Features for Classification of Crop and Weeds in Precision Agriculture
• 3-D Soil Compaction Mapping Through Kriging-Based Exploration With a Mobile Robot
• Pattern Spectra from Different Component Trees for Estimating Soil Size Distribution
• Warped Hypertime Representations for Long-Term Autonomy of Mobile Robots
• L*a*b*Fruits: A Rapid and Robust Outdoor Fruit Detection System Combining Bio-Inspired Features with One-Stage Deep Learning Networks
• Non-destructive Soft Fruit Mass and Volume Estimation for Phenotyping in Horticulture
• Robust Counting of Soft Fruit Through Occlusions with Re-identification
• Vision based crop row navigation under varying field conditions in arable fields
• Optimising robotic operation speed with edge computing via 5G network: Insights from selective harvesting robots
• Where is...? Learning and utilizing motion patterns of persons with mobile robots
• Boosting minimalist classifiers for blemish detection in potatoes
• Appearance-based Tracking of Persons with an Omnidirectional Vision Sensor
• Texture-Based Crowd Detection and Localisation
• Preface
• Real-time adaptive track generation in racing games
• A framework for quantitative analysis of user-generated spatial data
• Group emotion modelling and the use of middleware for virtual crowds in video-games
• Short- and long-term adaptation of visual place memories for mobile robots
• People recognition by mobile robots
• Real-time people tracking for mobile robots using thermal vision
• Visual detection of blemishes in potatoes using minimalist boosted classifiers
• Data association and occlusion handling for vision-based people tracking by mobile robots
• Minimalist AdaBoost for Blemish Identification in Potatoes
• Long-term experiments with an adaptive spherical view representation for navigation in changing environments
• Long-Term Experiment Using an Adaptive Appearance-Based Map for Visual Navigation by Mobile Robots
• Learning Motion Patterns of People for Compliant Robot Motion
• Active people recognition using thermal and grey images on a mobile security robot
• Person identification by mobile robots in indoor environments
• Integrating Mobile Robotics and Vision With Undergraduate Computer Science
• Improved data association and occlusion handling for vision-based people tracking by mobile robots
• Channel randomisation: Self-supervised representation learning for reliable visual anomaly detection in speciality crops
• Adaptive robot localization in dynamic environments through self-learnt long-term 3D stable points segmentation
• Leaving the Lines Behind: Vision-Based Crop Row Exit for Agricultural Robot Navigation
• LTS-NET: End-to-end Unsupervised Learning of Long-Term 3D Stable objects
• Statistical shape representations for temporal registration of plant components in 3D
• Bacchus Long-Term (BLT) data set: Acquisition of the agricultural multimodal BLT data set with automated robot deployment
• Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies
• Elevation State-Space: Surfel-Based Navigation in Uneven Environments for Mobile Robots
• Elevation State-Space: Surfel-Based Navigation in Uneven Environments for Mobile Robots
• An Agricultural Precision Sprayer Deposit Identification System
• Deep Learning for Precision Agriculture: Post-Spraying Evaluation and Deposition Estimation
• The ILIAD Safety Stack: Human-Aware Infrastructure-Free Navigation of Industrial Mobile Robots
• Vision-based Monitoring of the Short-term Dynamic Behaviour of Plants for Automated Phenotyping
• Statistical shape representations for temporal registration of plant components in 3D
• Benchmark of visual and 3D lidar SLAM systems in simulation environment for vineyards
• Optimising robotic operation speed with edge computing over 5G networks: Insights from selective harvesting robots
• Non-Destructive Biomass Estimation Based on 3D Reconstruction From A Handheld Camera
• Active Learning for Crop-Weed Discrimination by Image Classification from Convolutional Neural Network’s Feature Pyramid Levels
• Towards Infield Navigation: leveraging simulated data for crop row detection
• Deep learning-based crop row detection for infield navigation of agri-robots
• Benchmark of Sampling-Based Optimizing Planners for Outdoor Robot Navigation
• High-throughput phenotyping for breeding targets—Current status and future directions of strawberry trait automation
• Learned Long-Term Stability Scan Filtering for Robust Robot Localisation in Continuously Changing Environments
• Adaptive selection of informative path planning strategies via reinforcement learning
• A Vision-Based Navigation System for Arable Fields
• LTS-NET: End-to-End Unsupervised Learning of Long-Term 3D Stable Objects
• Benchmark of Visual and 3D Lidar SLAM Systems in Simulation Environment for Vineyards
• Cloud Hopping; Navigating in 3D Uneven Environments via Supervoxels and Control Lyapunov Function
• Dual-band feature selection for maturity classification of specialty crops by hyperspectral imaging
• Navigating in 3D Uneven Environments Through Supervoxels and Nonlinear MPC
• Adaptive selection of informative path planning strategies via reinforcement learning
• Key Point-based Orientation Estimation of Strawberries for Robotic Fruit Picking
• Dual-Band Feature Selection for Maturity Classification of Specialty Crops by Hyperspectral Imaging
• Mass Estimation of Soft Fruit via Oscillatory Plant Dynamics
• Collection and Evaluation of a Long-Term 4D Agri-Robotic Dataset
• Channel Randomisation: Self-Supervised Representation Learning for Reliable Visual Anomaly Detection in Specialty Crops
• Lincoln's Annotated Spatio-Temporal Strawberry Dataset (LAST-Straw)
• Towards Safety in Open-field Agricultural Robotic Applications: A Method for Human Risk Assessment using Classifiers
• Towards agricultural autonomy: Crop row detection under varying field conditions using deep learning
• Gaussian map predictions for 3D surface feature localisation and counting
• Evaluation of 3D vision systems for detection of small objects in agricultural environments
• Evaluation of sampling-based optimizing planners for outdoor robot navigation
• Real-time detection of broccoli crops in 3D point clouds for autonomous robotic harvesting
• Deep Semantic Segmentation of 3D Plant Point Clouds
• Gaussian map predictions for 3D surface feature localisation and counting
• Efficient and Robust Orientation Estimation of Strawberries for Fruit Picking Applications
• Integration of a Human-aware Risk-based Braking System into an Open-Field Mobile Robot
• Incorporating spatial constraints into a bayesian tracking framework for improved localisation in agricultural environments
• Kriging-based robotic exploration for soil moisture mapping using a cosmic-ray sensor
• L*a*b*Fruits: A rapid and robust outdoor fruit detection system combining bio-inspired features with one-stage deep learning networks
• Agri-Cost-Maps - Integration of Environmental Constraints into Navigation Systems for Agricultural Robots
• Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies
• Segmentation and detection from organised 3d point clouds: A case study in broccoli head detection
• Natural criteria for comparison of pedestrian flow forecasting models
• Semantically Assisted Loop Closure in SLAM Using NDT Histograms
• Warped hypertime representations for long-term autonomy of mobile robots
• 3D soil compaction mapping through Kriging-based exploration with a mobile robot
• Comparative Analysis of Unity and Gazebo Simulators for Digital Twins of Robotic Tomato Harvesting Scenarios
• Unsupervised Clustering with Geometric Shape Priors for Improved Occlusion Handling in Plant Stem Phenotyping