41 citations · 141 across the 27 of their papers we have counts for
8 papers · 1 filter
Height Change Feature Based Free Space Detection
Steven Schreck, Hannes Reichert, Manuel Hetzel +2
In the context of autonomous forklifts, ensuring non-collision during travel, pick, and place operations is crucial. To accomplish this, the forklift must be able to detect and loc…
Active Bird2Vec: Towards End-to-End Bird Sound Monitoring with Transformers
Lukas Rauch, Raphael Schwinger, Moritz Wirth +3
We propose a shift towards end-to-end learning in bird sound monitoring by combining self-supervised (SSL) and deep active learning (DAL). Leveraging transformer models, we aim to…
Smart Infrastructure: A Research Junction
Manuel Hetzel, Hannes Reichert, Konrad Doll +1
Complex inner-city junctions are among the most critical traffic areas for injury and fatal accidents. The development of highly automated driving (HAD) systems struggles with the…
The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset
Manuel Hetzel, Hannes Reichert, Günther Reitberger +3
Inner-city intersections are among the most critical traffic areas for injury and fatal accidents. Automated vehicles struggle with the complex and hectic everyday life within thos…
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers
Lukas Rauch, Matthias Aßenmacher, Denis Huseljic +3
Deep active learning (DAL) seeks to reduce annotation costs by enabling the model to actively query instance annotations from which it expects to learn the most. Despite extensive…
Sampling-based Uncertainty Estimation for an Instance Segmentation Network
Florian Heidecker, Ahmad El-Khateeb, Bernhard Sick
The examination of uncertainty in the predictions of machine learning (ML) models is receiving increasing attention. One uncertainty modeling technique used for this purpose is Mon…