most citedLeveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles

5 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO20231 cited

A multi-modal table tennis robot system

Andreas Ziegler, Thomas Gossard, Karl Vetter +2

In recent years, robotic table tennis has become a popular research challenge for perception and robot control. Here, we present an improved table tennis robot system with high acc…

cs.CV2023

Memory Maps for Video Object Detection and Tracking on UAVs

Benjamin Kiefer, Yitong Quan, Andreas Zell

This paper introduces a novel approach to video object detection detection and tracking on Unmanned Aerial Vehicles (UAVs). By incorporating metadata, the proposed approach creates…

cs.HC2023

Multiperspective Teaching of Unknown Objects via Shared-gaze-based Multimodal Human-Robot Interaction

Daniel Weber, Wolfgang Fuhl, Enkelejda Kasneci +1

For successful deployment of robots in multifaceted situations, an understanding of the robot for its environment is indispensable. With advancing performance of state-of-the-art o…

cs.CV2023

Fast Region of Interest Proposals on Maritime UAVs

Benjamin Kiefer, Andreas Zell

Unmanned aerial vehicles assist in maritime search and rescue missions by flying over large search areas to autonomously search for objects or people. Reliably detecting objects of…

cs.CV20215 cited

Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles

Benjamin Kiefer, David Ott, Andreas Zell

Acquiring data to train deep learning-based object detectors on Unmanned Aerial Vehicles (UAVs) is expensive, time-consuming and may even be prohibited by law in specific environme…

cs.CV2021

FourierMask: Instance Segmentation using Fourier Mapping in Implicit Neural Networks

Hamd ul Moqeet Riaz, Nuri Benbarka, Timon Hoefer +1

We present FourierMask, which employs Fourier series combined with implicit neural representations to generate instance segmentation masks. We apply a Fourier mapping (FM) to the c…