15 citations · 35 across the 3 of their papers we have counts for
5 papers
Pose Normalization of Indoor Mapping Datasets Partially Compliant to the Manhattan World Assumption
Patrick Hübner, Martin Weinmann, Sven Wursthorn +1
In this paper, we present a novel pose normalization method for indoor mapping point clouds and triangle meshes that is robust against large fractions of the indoor mapping geometr…
ReS2tAC -- UAV-Borne Real-Time SGM Stereo Optimized for Embedded ARM and CUDA Devices
Boitumelo Ruf, Jonas Mohrs, Martin Weinmann +2
With the emergence of low-cost robotic systems, such as unmanned aerial vehicle, the importance of embedded high-performance image processing has increased. For a long time, FPGAs…
FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery
Xian Sun, Peijin Wang, Zhiyuan Yan +11
With the rapid development of deep learning, many deep learning-based approaches have made great achievements in object detection task. It is generally known that deep learning is…
Self-Supervised Learning for Monocular Depth Estimation from Aerial Imagery
Max Hermann, Boitumelo Ruf, Martin Weinmann +1
Supervised learning based methods for monocular depth estimation usually require large amounts of extensively annotated training data. In the case of aerial imagery, this ground tr…
Developing a machine learning framework for estimating soil moisture with VNIR hyperspectral data
Sina Keller, Felix M. Riese, Johanna Stötzer +2
In this paper, we investigate the potential of estimating the soil-moisture content based on VNIR hyperspectral data combined with LWIR data. Measurements from a multi-sensor field…