- 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