Johann Prankl

Josephinum Research — Austria

Engineering · Physical Sciences

14h-index771citations45works0.02yr avg
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Research Topics

Robotics and Sensor-Based Localization(25), Advanced Image and Video Retrieval Techniques(13), Advanced Vision and Imaging(12), 3D Surveying and Cultural Heritage(9), Advanced Neural Network Applications(7)

Publications45 total

Grassland Yield Estimation Using Transfer Learning from Remote Sensing Data
KI - Künstliche Intelligenz·2023· 4 cited
Stereo camera-based method for grassland yield estimation
VDI Verlag eBooks·2022
Estimation of grassland yield from satellite data with ANN based transfer learning
VDI Verlag eBooks·2022
Semantic Segmentation for the Estimation of Plant and Soil Parameters on Agricultural Machines
International Conference on Autonomic and Autonomous Systems·2020
Detektion eines Grünlandschwades mit Stereo-RGB Kamera
GIL Jahrestagung·2020
A review on plant and soil properties estimation using ground-based computer vision techniques in the visible spectrum
VDI Verlag eBooks·2020
Machine vision for soil roughness measurement and control of tillage machines during seedbed preparation
Soil and Tillage Research·2019· 30 cited
ScalableFusion: High-resolution Mesh-based Real-time 3D Reconstruction
2019· 19 cited
Multi-Task Template Matching for Object Detection, Segmentation and Pose Estimation Using Depth Images
2019· 49 cited
Beurteilung der Schnittqualität von Schneid- und Mähwerken mittels photogrammetrischer Methode.
GIL Jahrestagung·2019
Tillage Machine Control Based on a Vision System for Soil Roughness and Soil Cover Estimation
Lecture notes in computer science·2019· 4 cited
Towards Autonomous Auto Calibration of Unregistered RGB-D Setups: The Benefit of Plane Priors
2018· 1 cited
Multi-View 3D Entangled Forest for Semantic Segmentation and Mapping
2018· 12 cited
A machine learning approach for pixel wise classification of residue and vegetation cover under field conditions
Biosystems Engineering·2018· 37 cited
Mutual Hypothesis Verification for 6D Pose Estimation of Natural Objects
2017· 5 cited
High Dynamic Range SLAM with Map-Aware Exposure Time Control
2017· 2 citedOpen Access
Roboter lernen mit Gegenständen umzugehen: neue Entwicklungen und Chancen
e+i Elektrotechnik und Informationstechnik·2017· 1 citedOpen Access
The 'Soil Cover App' - a new tool for fast determination of dead and living biomass on soil
EGUGA·2017
Innovative field test methods for tillage tools.
2017
Learning the Floor Type for Automated Detection of Dirt Spots for Robotic Floor Cleaning Using Gaussian Mixture Models
Lecture notes in computer science·2017· 6 cited
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Frequent Co-authors

Markus Vincze(37), Michael Zillich(15), Peter Riegler-Nurscher(13), Thomas Mörwald(8), Andreas Richtsfeld(4), Daniel Wolf(4), Heinrich Prankl(4), Georg Halmetschlager-Funek(3), Kiru Park(2), Timothy Patten(2), Aitor Aldomà(2), Alexander Svejda(2), Thomas Bauer(2), Peter Strauß(2), Jürgen Karner(2), Andreas Grünauer(2), Sergey V. Alexandrov(2), Elias Eder(2), Markus Bajones(2), A. Aldoma(1)