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- Technical University of MunichDE11 papers
- Intel (United States)US8 papers
- Technische Universität DarmstadtDE6 papers
- Brookhaven National LaboratoryUS5 papers
- Carnegie Mellon UniversityUS5 papers
- Massachusetts Institute of TechnologyUS5 papers
- ETH ZurichCH4 papers
- Lawrence Berkeley National LaboratoryUS4 papers
- University of North Carolina at Chapel HillUS4 papers
- Deutsches Elektronen-Synchrotron DESYDE3 papers
- GSI Helmholtz Centre for Heavy Ion ResearchDE3 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
8 papers · 1 filter
SGAS: Sequential Greedy Architecture Search
Guohao Li, Guocheng Qian, Itzel C. Delgadillo +3
Architecture design has become a crucial component of successful deep learning. Recent progress in automatic neural architecture search (NAS) shows a lot of promise. However, disco…
Optimized sensor placement for dependable roadside infrastructures
Florian Geissler, Ralf Graefe
We present a multi-stage optimization method for efficient sensor deployment in traffic surveillance scenarios. Based on a genetic optimization scheme, our algorithm places an opti…
A Generalized TDoA/ToA Model for ToF Positioning
Maximilian von Tschirschnitz, Marcel Wagner, Marc-Oliver Pahl +1
Many applications require positioning. Time of Flight (ToF) methods calculate distances by measuring the propagation time of signals. We present a novel ToF localization method. Ou…
Clock Error Analysis of Common Time of Flight based Positioning Methods
Maximilian von Tschirschnitz, Marcel Wagner, Marc-Oliver Pahl +1
Today, many applications such as production or rescue settings rely on highly accurate entity positioning. Advanced Time of Flight (ToF) based positioning methods provide highaccur…
Short Non-Binary Low-Density Parity-Check Codes for Phase Noise Channels
Tudor Ninacs, Balázs Matuz, Gianluigi Liva +1
This work considers the design of short non-binary low-density parity-check (LDPC) codes over finite fields of order m, for channels with phase noise. In particular, m-ary differen…
Designing a Roadside Sensor Infrastructure to Support Automated Driving
Florian Geissler, Sören Kohnert, Reinhard Stolle
Automation of complex traffic scenarios is expected to rely on input from a roadside infrastructure to complement the vehicles' environment perception. We here explore design requi…