Ronja Güldenring
Scholar

Ronja Güldenring

Google Scholar ID: t2mUkG4AAAAJ
PhD Student, Technical University Denmark
Autonomous RoboticsComputer VisionDeep Learning
Citations & Impact
All-time
Citations
277
 
H-index
5
 
i10-index
5
 
Publications
18
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • Publications:
  • - Real-Time Joint-Stem Prediction for Agricultural Robots in Grasslands Using Multi-Task Learning (MDPI Agronomy, 2023)
  • - RumexWeeds: A Grassland Dataset for Agricultural Robotics (Journal of Field Robotics, 2023)
  • - Lightweight Monocular Depth Estimation through Guided Decoding (ICRA, 2022)
  • - Self-supervised contrastive learning on agricultural images (Computers and Electronics in Agriculture, 2021)
  • - Few-leaf Learning: Weed Segmentation in Grasslands (IROS 2021)
  • - Learning Local Planners for Human-aware Navigation in Indoor Environments (IROS 2020)
Research Experience
  • Project: GALIRUMI EU HORIZON 2020 Project
  • Responsibilities:
  • - Hardware: Weed perception sensor system design
  • - Weed Detection Algorithms: Computer Vision and Deep Learning for 2D/3D data
  • - Integration and Field Testing: Applying robot platform in real world, together with other European partners of the GALIRUMI project
Education
  • Degree: PhD
  • University: Technical University of Denmark
  • Field: Electrical Engineering
  • Advisor: Not explicitly mentioned
  • Time: Not explicitly mentioned
Background
  • Research Interests: Machine Learning, Agricultural Robotics, Weed Detection
  • Field: Automation & Control
  • Introduction: PhD Student at the Automation & Control Group, Department of Electrical Engineering, Technical University of Denmark, focusing on machine learning-based weed detection for agricultural robotics.
Miscellany
  • Teaching Experience:
  • - Co-supervision of Master Thesis “Multi-task Learning: Weed Detection and Joint Stem Detection for Autonomous Agricultural Robots” (2023)
  • - Co-supervision of Special Course “Object Detection on RGB-D Images from Agricultural Environments” (2021)
  • - Fall Semester 2021: TA at Software Frameworks for Autonomous Systems
  • - Co-supervision of Master Thesis “Real-time Object Detection using Deep Learning on Constrained Devices” (2021)
  • - Co-supervision of Bachelor Project “Software and hardware integration on Husky UGV in cooperation with Galirumi project” (2021)
  • - Co-supervision of Special Course “Specialkursus, Synthesis: Evaluation of 3D sensors in indoor and outdoor environments” (2020)
  • - Fall Semester 2020: TA at Software Frameworks for Autonomous Systems