5 citations · 5 across the 6 of their papers we have counts for
5 papers · 1 filter
Learning-Based Distance Estimation for 360° Single-Sensor Setups
Yitong Quan, Benjamin Kiefer, Martin Messmer +1
Accurate distance estimation is a fundamental challenge in robotic perception, particularly in omnidirectional imaging, where traditional geometric methods struggle with lens disto…
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…
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…
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…
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…