191 citations · 404 across the 40 of their papers we have counts for
10 papers · 1 filter
Predictive Collision Management for Time and Risk Dependent Path Planning
Carsten Hahn, Sebastian Feld, Hannes Schroter
Autonomous agents such as self-driving cars or parcel robots need to recognize and avoid possible collisions with obstacles in order to move successfully in their environment. Huma…
A Flexible Pipeline for the Optimization of CSG Trees
Markus Friedrich, Christoph Roch, Sebastian Feld +2
CSG trees are an intuitive, yet powerful technique for the representation of geometry using a combination of Boolean set-operations and geometric primitives. In general, there exis…
Accelerating Evolutionary Construction Tree Extraction via Graph Partitioning
Markus Friedrich, Sebastian Feld, Thomy Phan +1
Extracting a Construction Tree from potentially noisy point clouds is an important aspect of Reverse Engineering tasks in Computer Aided Design. Solutions based on algorithmic geom…
Insights on Training Neural Networks for QUBO Tasks
Thomas Gabor, Sebastian Feld, Hila Safi +2
Current hardware limitations restrict the potential when solving quadratic unconstrained binary optimization (QUBO) problems via the quantum approximate optimization algorithm (QAO…
The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline
Thomas Gabor, Leo Sünkel, Fabian Ritz +5
We discuss the synergetic connection between quantum computing and artificial intelligence. After surveying current approaches to quantum artificial intelligence and relating them…
Approximate Approximation on a Quantum Annealer
Irmi Sax, Sebastian Feld, Sebastian Zielinski +3
Many problems of industrial interest are NP-complete, and quickly exhaust resources of computational devices with increasing input sizes. Quantum annealers (QA) are physical device…
Trajectory annotation using sequences of spatial perception
Sebastian Feld, Steffen Illium, Andreas Sedlmeier +1
In the near future, more and more machines will perform tasks in the vicinity of human spaces or support them directly in their spatially bound activities. In order to simplify the…
Bayesian Surprise in Indoor Environments
Sebastian Feld, Andreas Sedlmeier, Markus Friedrich +2
This paper proposes a novel method to identify unexpected structures in 2D floor plans using the concept of Bayesian Surprise. Taking into account that a person's expectation is an…
Optimizing Geometry Compression using Quantum Annealing
Sebastian Feld, Markus Friedrich, Claudia Linnhoff-Popien
The compression of geometry data is an important aspect of bandwidth-efficient data transfer for distributed 3d computer vision applications. We propose a quantum-enabled lossy 3d…
Cross Entropy Hyperparameter Optimization for Constrained Problem Hamiltonians Applied to QAOA
Christoph Roch, Alexander Impertro, Thomy Phan +3
Hybrid quantum-classical algorithms such as the Quantum Approximate Optimization Algorithm (QAOA) are considered as one of the most encouraging approaches for taking advantage of n…