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A gardening robot for rose, hedge and topiary trimming

Livrables

Second periodic report

This is the second technical and administration summary describing the project activities since the first report.

Project Exploitation Plan

This report summarises the activities planned by each of the partners for exploitation of the Foreground IPR generated during the project.

Evaluation and dissemination of manipulator and tools version 1 plus open-loop motion planning

This is a report describing and evaluating the motion planning and clipper control relative to a plan.

Proceedings of workshop 3: Gardening and agricultural robots

This is a brief summary of a conference workshop on the given topic, including the call for papers, the programme and a summary of the attendance.

Data management plan and framework

This report describes the expected data generated by the project, how it will be curated, stored and disseminated.

Project Dissemination Plan

This report summarises the plan for engaging the world with the project, including ROS packages, web presence, events, publication plans, IPR protection plans, commercialisation plans.

Wikipedia articles, popular science and presentation events

This is a brief report on the 'public' communication opportunities by the project.

Algorithmic speedup and efficient implementations, final evaluation of all 3D reconstructions

This report gives the performance analysis of the individual and combined tasks, identifies where speed and accuracy limitations are, and documents improvements made to the speed and accuracy of the algorithms.

Third periodic report

This is the final technical and administration summary describing the project activities since the second report.

Ground-truth data definitions and acquisition

This is a report of an ongoing process, describing the different types of visual and robotic data that expect to be acquired, how that data will be annotated to create a 'ground truth' dataset, how and when the datasets will be disseminated to the public.

Proceedings of workshop 2: 3D Visual Data Analysis

This is a brief summary of a conference workshop on the given topic, including the call for papers, the programme and a summary of the attendance.

Proceedings of workshop 1: 3D Visual Data Fusion

This is a brief summary of a conference workshop on the given topic, including the call for papers, the programme and a summary of the attendance.

Final evaluation and dissemination

This is a report describing and evaluating the final full arm, clipper and control package.

First periodic report

This is the first technical and administration summary describing the project activities since the start of the project.

Intrinsic image decomposition

This report describes the theory and evaluation of algorithms for the analysis and decomposition of the RGB-D video data into intrinsic components, albedo, hue and illumination.

Project website, blog, social media presence set up

This is a brief report summarising the development of the electronic media supporting the project.

Industry network meetings

Due also in M48 This is a brief summary of a set of industry events introducing the project, integrated robot and developed technology, including the call for papers, the programme and a summary of the attendance.

Project promotion material, fact sheets and press releases

These are a set of fliers describing the project, and a summary of where they were sent.

Component and system evaluation plan

This is a system integration planning document that specifies how each component will be tested individually and with what data. Then it specifies the planned tests for the whole integrated system. Evaluation metrics will be proposed.

Report on relevant audiences and stakeholders

This is a brief summary of exploitation opportunities for the project as a whole as well as individual components.

Implementation and evaluation of SLAM, 3D from binocular and motion stereo

This report describes the theory, implementation and performance of the individual 3D shape extraction and description components.

Dynamic reconstruction progress report

State of the art, design and preliminary results of acquiring 3D surface shape of ground, obstacles and hedges from video sequences.

Evaluation and dissemination of manipulator and tools version 2 plus closed-loop path and motion planning

This is a report describing and evaluating the motion planning and clipper control relative to a plan with sensing and feedback.

Data representation design and implementation, sensor calibration

This report describes the data integration structures for the fused 3D shape data, hypothesised objects, and garden structures, including the software interfaces to these structures. Also included is the description and evaluation of the methodology for linking the different sensor reference frames.

Three demonstrator plan

This report describes in detail the planned demonstrators (equipment, scenarios and tasks).

Missing data completion

This package analyses the raw and decomposed RGB-D video data and 3D shape data from other components to identify regions of incomplete data and hypothesis shape data completions (e.g. for shape and drivable region completion). A report describes the theory and performance of the package.

Scene flow software

A software package that produces the dense 3D scene motion description based on a moving sensor, as used for navigation and trimable target localisation. A report documents the theory and evaluation.

Dense deformable mapping software

A software package that produces the dense 3D scene shape description, including where and how hedge surfaces are deforming under contact with e.g. the clipper. A report documents the theory and evaluation.

Drivable garden regions

This package analyses the raw and decomposed RGB-D video data and 3D shape data from other components to recognise and localise drivable garden regions (e.g. paths, lawn). A report describes the theory and performance of the package.

Recognition and localisation of Garden Proto-Objects

This package analyses the raw and decomposed RGB-D video data and 3D shape data from other components to recognise and localise known garden objects (e.g. hedges, walls). A report describes the theory and performance of the package.

Arm and vehicle localisation

This software package (and associated report) describes the algorithms and performance behind the vehicle and cutting head locating itself relative to a map of navigable and cutting regions.

Clipping site recognition software

A software package that matches the dense 3D scene shape description to the desired shape model - localisation of the trimming location and the desired shape relative to the actual shape. A report documents the theory and evaluation.

Integrated 3D extraction package

This is the integrated software package combining the components from D3.2, providing the analysed scene data needed by the motion planning, navigation and hedge trimming control packages.

Publications

CNN Based Learning Using Reflection and Retinex Models for Intrinsic Image Decomposition

Auteurs: Anil S. Baslamisli, Hoang-An Le, Theo Gevers
Publié dans: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, Page(s) 6674-6683, ISBN 978-1-5386-6420-9
Éditeur: IEEE
DOI: 10.1109/cvpr.2018.00698

Hybrid Multi-camera Visual Servoing to Moving Target

Auteurs: Hanz Cuevas-Velasquez, Nanbo Li, Radim Tylecek, Marcelo Saval-Calvo, Robert B. Fisher
Publié dans: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018, Page(s) 1132-1137, ISBN 978-1-5386-8094-0
Éditeur: IEEE
DOI: 10.1109/iros.2018.8593652

DUGMA: Dynamic Uncertainty-Based Gaussian Mixture Alignment

Auteurs: Can Pu, Nanbo Li, Radim Tylecek, Bob Fisher
Publié dans: 2018 International Conference on 3D Vision (3DV), 2018, Page(s) 766-774, ISBN 978-1-5386-8425-2
Éditeur: IEEE
DOI: 10.1109/3dv.2018.00092

Camera Localization in Outdoor Garden Environments Using Artificial Landmarks

Auteurs: Nicola Strisciuglio, Maria Leyva Vallina, Nicolai Petkov, Rafael Munoz Salinas
Publié dans: 2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI), 2018, Page(s) 1-6, ISBN 978-1-5386-7506-9
Éditeur: IEEE
DOI: 10.1109/iwobi.2018.8464139

Semantic Visual Localization

Auteurs: Johannes L. Schonberger, Marc Pollefeys, Andreas Geiger, Torsten Sattler
Publié dans: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, Page(s) 6896-6906, ISBN 978-1-5386-6420-9
Éditeur: IEEE
DOI: 10.1109/cvpr.2018.00721

Three for one and one for three:Flow, Segmentation, and Surface Normals

Auteurs: Hoang-An Le, Anil Baslamisli, Thomas Mensink, Theo Gevers
Publié dans: BMVC 2018 : British Machine Vision Conference, 2018
Éditeur: Springer

3D Reconstruction Meets Semantics. Reconstruction Challenge 2017

Auteurs: Torsten Sattler, Radim Tylecek, Thomas Brox, Marc Pollefeys, Robert B. Fisher
Publié dans: ICCV Workshop Venice, Italy, 2017., 2017
Éditeur: ICCV

TrimBot2020: an outdoor robot for automatic gardening

Auteurs: Nicola Strisciuglio, Radim Tylecek, Michael Blaich, Nicolai Petkov, Peter Bieber, Jochen Hemming, Eldert van Henten, Torsten Sattler, Marc Pollefeys, Theo Gevers, Thomas Brox, Robert B. Fisher
Publié dans: 50th Int. Symposium on Robotics, 2018, 2018
Éditeur: ISR

Trimbot Cutting Tools and Manipulator

Auteurs: Jochen Hemming, Bart van Tuijl, Toon Tielen, Dejan Kaljaca, Joris IJsselmuiden, Eldert van Henten, Angelo Mencarelli, Pieter de Visser
Publié dans: APPIS Conf. 2018, 2018
Éditeur: APPIS

Structured design of a novel end-effector for a bush trimming robot

Auteurs: B.A.J. van Tuijl, A.P.M. Tielen, A. Mencarelli, J. Hemming
Publié dans: European Society of Agricultural Engineers (EurAgEng), 2018
Éditeur: AgEng

3D Plane Labeling Stereo Matching with Content Aware Adaptive Windows

Auteurs: Luis Horna, Robert B. Fisher
Publié dans: Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2017, Page(s) 162-171, ISBN 978-989-758-225-7
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0006105401620171

Embedded real-time multi-baseline stereo

Auteurs: Dominik Honegger, Torsten Sattler, Marc Pollefeys
Publié dans: 2017 IEEE International Conference on Robotics and Automation (ICRA), 2017, Page(s) 5245-5250, ISBN 978-1-5090-4633-1
Éditeur: IEEE
DOI: 10.1109/ICRA.2017.7989615

Plane labeling trinocular stereo matching with baseline recovery

Auteurs: Luis Horna, Robert B. Fisher
Publié dans: 2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA), 2017, Page(s) 17-20, ISBN 978-4-9011-2216-0
Éditeur: IEEE
DOI: 10.23919/MVA.2017.7986762

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Auteurs: Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox
Publié dans: Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Éditeur: IEEE

Comparative Evaluation of Hand-Crafted and Learned Local Features

Auteurs: Johannes L. Schonberger, Hans Hardmeier, Torsten Sattler, Marc Pollefeys
Publié dans: Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Page(s) 1482-1491
Éditeur: IEEE

DeMoN: Depth and Motion Network for Learning Monocular Stereo

Auteurs: Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox
Publié dans: Conference on Computer Vision and Pattern Regognition, 2017, Page(s) 5038-5047
Éditeur: IEEE

A Multi-View Stereo Benchmark with High-Resolution Images and Multi-Camera Videos

Auteurs: Thomas Schops, Johannes L. Schonberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, Andreas Geiger
Publié dans: Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Page(s) 3260-3269
Éditeur: IEEE

Joint Learning of Intrinsic Images and Semantic Segmentation

Auteurs: Anil S. Baslamisli, Thomas T. Groenestege, Partha Das, Hoang-An Le, Sezer Karaoglu, Theo Gevers
Publié dans: Computer Vision – ECCV 2018 - 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part VI, Numéro 11210, 2018, Page(s) 289-305, ISBN 978-3-030-01230-4
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-01231-1_18

Learning Priors for Semantic 3D Reconstruction

Auteurs: Ian Cherabier, Johannes L. Schönberger, Martin R. Oswald, Marc Pollefeys, Andreas Geiger
Publié dans: Computer Vision – ECCV 2018 - 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part XII, Numéro 11216, 2018, Page(s) 325-341, ISBN 978-3-030-01257-1
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-01258-8_20

Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow

Auteurs: Eddy Ilg, Özgün Çiçek, Silvio Galesso, Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox
Publié dans: Computer Vision – ECCV 2018 - 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part VII, Numéro 11211, 2018, Page(s) 677-693, ISBN 978-3-030-01233-5
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-01234-2_40

Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation

Auteurs: Eddy Ilg, Tonmoy Saikia, Margret Keuper, Thomas Brox
Publié dans: Computer Vision – ECCV 2018 - 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part XII, Numéro 11216, 2018, Page(s) 626-643, ISBN 978-3-030-01257-1
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-01258-8_38

VSO: Visual Semantic Odometry

Auteurs: Konstantinos-Nektarios Lianos, Johannes L. Schönberger, Marc Pollefeys, Torsten Sattler
Publié dans: Computer Vision – ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part IV, Numéro 11208, 2018, Page(s) 246-263, ISBN 978-3-030-01224-3
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-01225-0_15

Brain-Inspired Robust Delineation Operator

Auteurs: Nicola Strisciuglio, George Azzopardi, Nicolai Petkov
Publié dans: Computer Vision – ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part III, Numéro 11131, 2019, Page(s) 555-565, ISBN 978-3-030-11014-7
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-11015-4_41

3DContextNet: K-d Tree Guided Hierarchical Learning of Point Clouds Using Local and Global Contextual Cues

Auteurs: Wei Zeng, Theo Gevers
Publié dans: Computer Vision – ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part III, Numéro 11131, 2019, Page(s) 314-330, ISBN 978-3-030-11014-7
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-11015-4_24

DeepTAM: Deep Tracking and Mapping

Auteurs: Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox
Publié dans: Computer Vision – ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XVI, Numéro 11220, 2018, Page(s) 851-868, ISBN 978-3-030-01269-4
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-01270-0_50

What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?

Auteurs: Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
Publié dans: International Journal of Computer Vision, Numéro 126/9, 2018, Page(s) 942-960, ISSN 0920-5691
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s11263-018-1082-6

Consistent Semantic Annotation of Outdoor Datasets via 2D/3D Label Transfer

Auteurs: Radim Tylecek, Robert Fisher
Publié dans: Sensors, Numéro 18/7, 2018, Page(s) 2249, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s18072249

Point Light Source Position Estimation From RGB-D Images by Learning Surface Attributes

Auteurs: Sezer Karaoglu, Yang Liu, Theo Gevers, Arnold W. M. Smeulders
Publié dans: IEEE Transactions on Image Processing, Numéro 26/11, 2017, Page(s) 5149-5159, ISSN 1057-7149
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TIP.2017.2731619

Color Constancy by GANs: An Experimental Survey.

Auteurs: P. Das, A. S. Baslamisli, Y. Liu, S. Karaoglu, and T. Gevers.
Publié dans: 2018
Éditeur: N/A

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