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SDF 2018: Bonn, Germany
- Sensor Data Fusion: Trends, Solutions, Applications, SDF 2018, Bonn, Germany, October 9-11, 2018. IEEE 2018, ISBN 978-1-5386-9398-8
- Kristian Amundsen Ruud, Edmund Førland Brekke, Jo Eidsvik:
LIDAR Extended Object Tracking of a Maritime Vessel Using an Ellipsoidal Contour Model. 1-6 - Dietrich Fränken:
An approximate maximum-likelihood estimator for localisation using bistatic measurements. 1-6 - Martin Ulmke
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Quantum Field Theory and Tracking of Indistinguishable Targets. 1-8 - Rui Liu, Klaus Greve
Task-Oriented Path Planning Algorithm Considering POIs and Dynamic Collaborative Targets Distribution. 1-5 - Andreas Tollkühn, Florian Particke, Jörn Thielecke:
Gaussian State Estimation with Non-Gaussian Measurement Noise. 1-5 - Martin Ulmke
Sequential Quantum Monte-Carlo for Tracking of Indistinguishable Targets. 1-7 - Hosam Alqaderi, Raymond Schulz:
Enhancement of LiDAR Data Association and Fusion Using Imaging Radar Grid-Maps for Advanced Automotive Environment Perception. 1-6 - Peng Wang
Short-Term Traffic Prediction with Vicinity Gaussian Process in the Presence of Missing Data. 1-6 - Felix Govaers:
On a CPD Decomposition of a Multi-Variate Gaussian. 1-6 - Kailai Li
Wavefront Orientation Estimation Based on Progressive Bingham Filtering. 1-6 - Markus Horn, Ole Schumann
Motion Classification and Height Estimation of Pedestrians Using Sparse Radar Data. 1-6 - Stefan Haag, Bharanidhar Duraisamy, Wolfgang Koch, Jürgen Dickmann:
Classification Assisted Tracking for Autonomous Driving Domain. 1-8 - Christian Steffes, Clemens Allmann, Marc Oispuu:
Fused Single Sensor Emitter Localization Using Time-Multiplex AOA and S4TDOA Measurements. 1-6 - Youngjoo Kim, Peng Wang
A Capsule Network for Traffic Speed Prediction in Complex Road Networks. 1-6 - Kaeye Dästner, Susie Brunessaux, Elke Schmid, Bastian von Hassler zu Roseneckh-Köhler, Felix Opitz:
Classification of Military Aircraft in Real-time Radar Systems based on Supervised Machine Learning with Labelled ADS-B Data. 1-6 - Thomas Kropfreiter
Multiobject Tracking with Track Continuity: An Efficient Random Finite Set Based Algorithm. 1-6
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