Object Detection Using Sim2Real Domain Randomization for Robotic Applications

Author:

Horváth Dániel1ORCID,Erdős Gábor1ORCID,Istenes Zoltán2ORCID,Horváth Tomáš3ORCID,Földi Sándor1ORCID

Affiliation:

1. Centre of Excellence in Production Informatics and Control, Institute for Computer Science and Control, Eötvös Loránd Research Network, Budapest, Hungary

2. CoLocation Center for Academic and Industrial Cooperation, Eötvös Loránd University, Budapest, Hungary

3. Department of Data Science and Engineering, Eötvös Loránd University, Budapest, Hungary

Funder

Research on prime exploitation of the potential provided by the industrial digitalisation

Ministry for Innovation and Technology and the National Research

Development and Innovation Office

National Lab for Autonomous Systems

Application Domain Specific Highly Reliable IT Solutions

National Research, Development and Innovation Fund of Hungary

Thematic Excellence Programme

National Challenges Subprogramme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

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5. Learning Multi-Scale Context Mask-RCNN Network for Slant Angled Aerial Imagery in Instance Segmentation in a Sim2Real setup;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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