Joacim Dybedal

University of Agder — Norway

Engineering · Physical Sciences

7h-index104citations15works0.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Robotics and Sensor-Based Localization(9), 3D Surveying and Cultural Heritage(4), Advanced Optical Sensing Technologies(4), Robotic Path Planning Algorithms(3), Advanced Neural Network Applications(2)

Publications15 total

Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening
2021· 1 citedOpen Access
CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening
Modeling Identification and Control A Norwegian Research Bulletin·2021Open Access
GPU-Based Optimisation of 3D Sensor Placement Considering Redundancy, Range and Field of View
2020· 6 cited
GPU-Based Occlusion Minimisation for Optimal Placement of Multiple 3D Cameras
2020· 5 cited
Reshaping Field of View and Resolution with Segmented Reflectors: Bridging the Gap between Rotating and Solid-State LiDARs
Sensors·2020· 8 citedOpen Access
Automatic Calibration of an Industrial RGB-D Camera Network Using Retroreflective Fiducial Markers
Sensors·2019· 18 citedOpen Access
Embedded Processing and Compression of 3D Sensor Data for Large Scale Industrial Environments
Sensors·2019· 14 citedOpen Access
SFI-Mechatronics/wp3_compressor and SFI-Mechatronics/wp3_decompressor: First Release
Zenodo (CERN European Organization for Nuclear Research)·2019· 1 citedOpen Access
Scalability of GPU-Processed 3D Distance Maps for Industrial Environments
2018
Industrial Environment Mapping Using Distributed Static 3D Sensor Nodes
2018· 11 cited
Visual Marker Guided Point Cloud Registration in a Large Multi-Sensor Industrial Robot Cell
2018· 12 cited
Optimal placement of 3D sensors considering range and field of view
2017· 18 cited
Doppler Radar Speed Measurement Based On A 24 GHz Radar Sensor
Duo Research Archive (University of Oslo)·2013· 7 citedOpen Access
Volumetric Reconstruction, Visualisation and Fusion of TOPAS Sub-Bottom Profiler Data, UALG-ISACS-TR04
Explore Bristol Research·1997· 2 cited
Application of a parametric source for sediment characterisation and object detection
1997· 1 cited

Frequent Co-authors

Geir Hovland(9), Atle Aalerud(6), Erind Ujkani(2), Knut Berg Kaldestad(1), Dipendra Subedi(1), SG Nikolov(1), O. Bergem(1), A. Løvik(1)