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A Long-Term Terrestrial Laser Scanning Measurement Station to Continuously Monitor Structural and Phenological Dynamics of Boreal Forest Canopy
Frontiers in plant science, 2021-01, Vol.11, p.606752-606752
2021
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Feasibility of Hyperspectral Single Photon Lidar for Robust Autonomous Vehicle Perception
Sensors (Basel, Switzerland), 2022-08, Vol.22 (15), p.5759
2022
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A DCM Based Attitude Estimation Algorithm for Low-Cost MEMS IMUs
International journal of navigation and observation, 2015, Vol.2015, p.1-18
2015
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Under-Canopy UAV Laser Scanning Providing Canopy Height and Stem Volume Accurately
Forests, 2021-07, Vol.12 (7), p.856
2021
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Can the Perception Data of Autonomous Vehicles Be Used to Replace Mobile Mapping Surveys?—A Case Study Surveying Roadside City Trees
Remote sensing (Basel, Switzerland), 2023-04, Vol.15 (7), p.1790
2023
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Integration of a Mobile Laser Scanning System with a Forest Harvester for Accurate Localization and Tree Stem Measurements
Remote sensing (Basel, Switzerland), 2024-09, Vol.16 (17), p.3292
2024
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Forestry crane posture estimation with a two‐dimensional laser scanner
Journal of field robotics, 2018-10, Vol.35 (7), p.1025-1049
2018
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Preregistration Classification of Mobile LIDAR Data Using Spatial Correlations
IEEE transactions on geoscience and remote sensing, 2019-09, Vol.57 (9), p.6900-6915
2019
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Towards High-Definition Maps: a Framework Leveraging Semantic Segmentation to Improve NDT Map Compression and Descriptivity
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022, p.5370-5377
2022
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Drone based Mapping and Identification of Young Spruce Stand for Semiautonomous Cleaning
IFAC-PapersOnLine, 2020, Vol.53 (2), p.15777-15783
2020
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A Complete Process For Shipborne Sea-Ice Field Analysis Using Machine Vision
IFAC-PapersOnLine, 2020, Vol.53 (2), p.14539-14545
2020
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Drone based Mapping and Identification of Young Spruce Stand for Semiautonomous Cleaning⁎⁎Strategic Research Council at the Academy of Finland is acknowledged for financial support of project “Competence-Based Growth Through Integrated Disruptive Technologies of 3D Digitalization, Robotics, Geospatial Information and Image Processing/Computing - Point Cloud Ecosystem” (project decision numbers 293389 and 314312).Issouf Ouattara is a PhD Student with the Autonomous Systems research group, Departm
IFAC-PapersOnLine, 2020, Vol.53 (2), p.15777-15783
2020
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Augmented Reality in Forest Machine Cabin
IFAC-PapersOnLine, 2017, Vol.50 (1), p.5410-5417
2017
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A Complete Process For Shipborne Sea-Ice Field Analysis Using Machine Vision⁎⁎Strategic Research Council at the Academy of Finland is acknowledged for financial support of project “Competence-Based Growth Through Integrated Disruptive Technologies of 3D Digitalization, Robotics, Geospatial Information and Image Processing/Computing - Point Cloud Ecosystem” (project decision numbers 293389 and 314312)
IFAC-PapersOnLine, 2020, Vol.53 (2), p.14539-14545
2020
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Feature Based Modeling and Mapping of Tree Trunks and Natural Terrain Using 3D Laser Scanner Measurement System
IFAC Proceedings Volumes, 2013-06, Vol.46 (10), p.248-255
2013
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Detection and species classification of young trees using machine perception for a semi-autonomous forest machine
2015 IEEE International Conference on Robotics and Automation (ICRA), 2015, p.1543-1548
2015
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Sway Estimation using Inertial Measurement Units for Cranes with a Rotating Tool
IFAC Proceedings Volumes, 2013-06, Vol.46 (10), p.274-279
2013
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Real-time detection of young spruce using color and texture features on an autonomous forest machine
The 2013 International Joint Conference on Neural Networks (IJCNN), 2013, p.1-8
2013
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ISO 11783 Compliant Forest Crane as a Platform for Automatic Control
IFAC Proceedings Volumes, 2013-08, Vol.46 (18), p.164-169
2013
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