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pro vyhledávání: '"Buchholz AS"'
Conflicting sensor measurements pose a huge problem for the environment representation of an autonomous robot. Therefore, in this paper, we address the self-assessment of an evidential grid map in which data from conflicting LiDAR sensor measurements
Externí odkaz:
http://arxiv.org/abs/2409.20286
We propose an approach to assess the synchronization of rigidly mounted sensors based on their rotational motion. Using function similarity measures combined with a sliding window approach, our approach is capable of estimating time-varying time offs
Externí odkaz:
http://arxiv.org/abs/2409.20266
Autor:
D'Silva, Nicholas, Shahi, Toran, Husveg, Øyvind Timian Dokk, Sanjeeve, Adith, Buchholz, Erik, Kanhere, Salil S.
Once analysed, location trajectories can provide valuable insights beneficial to various applications. However, such data is also highly sensitive, rendering them susceptible to privacy risks in the event of mismanagement, for example, revealing an i
Externí odkaz:
http://arxiv.org/abs/2409.14645
We introduce STAResNet, a ResNet architecture in Spacetime Algebra (STA) to solve Maxwell's partial differential equations (PDEs). Recently, networks in Geometric Algebra (GA) have been demonstrated to be an asset for truly geometric machine learning
Externí odkaz:
http://arxiv.org/abs/2408.13619
Location trajectories provide valuable insights for applications from urban planning to pandemic control. However, mobility data can also reveal sensitive information about individuals, such as political opinions, religious beliefs, or sexual orienta
Externí odkaz:
http://arxiv.org/abs/2407.16938
Autor:
Wodtko, Thomas, Buchholz, Michael
Sensor calibration is crucial for autonomous driving, providing the basis for accurate localization and consistent data fusion. Enabling the use of high-accuracy GNSS sensors, this work focuses on the antenna lever arm calibration. We propose a globa
Externí odkaz:
http://arxiv.org/abs/2406.09866
The issue of popularity bias -- where popular items are disproportionately recommended, overshadowing less popular but potentially relevant items -- remains a significant challenge in recommender systems. Recent advancements have seen the integration
Externí odkaz:
http://arxiv.org/abs/2406.01285
Causal spaces have recently been introduced as a measure-theoretic framework to encode the notion of causality. While it has some advantages over established frameworks, such as structural causal models, the theory is so far only developed for single
Externí odkaz:
http://arxiv.org/abs/2406.00388
Autor:
Selzer, Gabriel J., Rueden, Curtis T., Hiner, Mark C., Evans III, Edward L., Kolb, David, Wiedenmann, Marcel, Birkhold, Christian, Buchholz, Tim-Oliver, Helfrich, Stefan, Northan, Brian, Walter, Alison, Schindelin, Johannes, Pietzsch, Tobias, Saalfeld, Stephan, Berthold, Michael R., Eliceiri, Kevin W.
Many scientific software platforms provide plugin mechanisms that simplify the integration, deployment, and execution of externally developed functionality. One of the most widely used platforms in the imaging space is Fiji, a popular open-source app
Externí odkaz:
http://arxiv.org/abs/2405.12385
Connected automated driving promises a significant improvement of traffic efficiency and safety on highways and in urban areas. Cooperative maneuver planning may facilitate active guidance of connected automated vehicles at intersections. Research in
Externí odkaz:
http://arxiv.org/abs/2403.16478