3 citations · 6 across the 8 of their papers we have counts for
5 papers · 1 filter
Conceptual Evaluation of Deep Visual Stereo Odometry for the MARWIN Radiation Monitoring Robot in Accelerator Tunnels
André Dehne, Juri Zach, Peer Stelldinger
The MARWIN robot operates at the European XFEL to perform autonomous radiation monitoring in long, monotonous accelerator tunnels where conventional localization approaches struggl…
Diffusion-Based Synthetic Brightfield Microscopy Images for Enhanced Single Cell Detection
Mario de Jesus da Graca, Jörg Dahlkemper, Peer Stelldinger
Accurate single cell detection in brightfield microscopy is crucial for biological research, yet data scarcity and annotation bottlenecks limit the progress of deep learning method…
PuzzlePoles: Cylindrical Fiducial Markers Based on the PuzzleBoard Pattern
Juri Zach, Peer Stelldinger
Reliable perception of the environment is a key enabler for autonomous systems, where calibration and localization tasks often rely on robust visual markers. We introduce the Puzzl…
Enhancing ECG Classification Robustness with Lightweight Unsupervised Anomaly Detection Filters
Mustafa Fuad Rifet Ibrahim, Maurice Meijer, Alexander Schlaefer +1
Continuous electrocardiogram (ECG) monitoring via wearable devices is vital for early cardiovascular disease detection. However, deploying deep learning models on resource-constrai…
On-Device Inference versus Wireless Streaming: Energy-Efficient Multi-Modal Deep Learning for Wearable Cardiovascular Patches
Mustafa Fuad Rifet Ibrahim, Tunc Alkanat, Felix Manthey +3
Wearable cardiovascular sensor patches promise continuous, unobtrusive monitoring, but their tight energy, memory, and compute budgets make it unclear whether physiological signals…