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SDF 2019: Bonn, Germany
- 2019 Sensor Data Fusion: Trends, Solutions, Applications, SDF 2019, Bonn, Germany, October 15-17, 2019. IEEE 2019, ISBN 978-1-7281-5085-7
- Felix Nobis, Maximilian Geisslinger
, Markus Weber, Johannes Betz
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection. 1-7 - Sebastian Thomas Handke, Joshua Gehlen:
Randomized Evolution Model for Multi Hypothesis Kalman Filter. 1-5 - Josef Steinbaeck, Herbert Füreder, Christian Steger, Eugen Brenner, Christian Schwarzl, Norbert Druml, Thomas Herndl, Stefan Loigge, Nadja Marko, Markus Postl, Georg Kail, Reinhard Hladik, Gerhard Hechenberger:
ACTIVE - Autonomous Car to Infrastructure Communication Mastering Adverse Environments. 1-6 - Mahed Javed, Lyudmila Mihaylova:
Leveraging Uncertainty in Adversarial Learning to Improve Deep Learning Based Segmentation. 1-8 - Yifan Zhou, James Wright
A Generic Anomaly Detection Approach Applied to Mixture-of-unigrams and Maritime Surveillance Data. 1-6 - Hosam Alqaderi, Felix Govaers, Raymond Schulz:
Spacial Elliptical Model for Extended Target Tracking Using Laser Measurements. 1-6 - Peng Wang
Computer Vision Methods for Automating High Temperature Steel Section Sizing in Thermal Images. 1-6 - Karsten Schwalbe, Alexander Groh, Frank Hertwig, Ulrich Scheunert:
Data fusion strategy to improve the realiability of machine learning based classifications. 1-5 - Markus Krestel, Folker Hoffmann
Passive emitter direction finding using a single antenna and compressed sensing. 1-5 - Luisa Still, Macarena Varela, Wulf-Dieter Wirth, Marc Oispuu:
Shooter Localization with a Microphone Array Based on a Linearly Modeled Bullet Speed. 1-6 - Muhammad Altamash Khan:
Comparison of Track to Track fusion methods for nonlinear process and measurement models. 1-8 - Mark A. Campbell, Daniel E. Clark:
Joint stereo camera calibration and multi-target tracking using the linear-complexity factorial cumulant filter. 1-7 - Daniel Svensson:
Derivation of the discrete-time constant turn rate and acceleration motion model. 1-5 - Kennedy J. Offor
Multi-Model Bayesian Kriging for Urban Traffic State Prediction. 1-6 - Julian Böhler, Tim Baur, Stefan Wirtensohn, Johannes Reuter:
Stochastic Partitioning for Extended Object Probability Hypothesis Density Filters. 1-6 - Stefano P. Coraluppi, Craig A. Carthel:
Track-Oriented MHT with Unresolved Measurements. 1-6 - Stefan Haag, Bharanidhar Duraisamy, Felix Govaers, Wolfgang Koch, Martin Fritzsche, Jürgen Dickmann:
Extended Object Tracking assisted Adaptive Clustering for Radar in Autonomous Driving Applications. 1-7 - Florian Particke, Jiaren Zhou, Markus Hiller
Neural Network Aided Potential Field Approach For Pedestrian Prediction. 1-6 - Felix Govaers:
On Independent Axes Estimation for Extended Target Tracking. 1-6
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