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MFI 2024: Pilsen, Czech Republic
- IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2024, Pilsen, Czech Republic, September 4-6, 2024. IEEE 2024, ISBN 979-8-3503-6803-1
- Charlotte Hermann, Alexander Scheible, Michael Buchholz, Klaus Dietmayer:
An Efficient Implementation of the Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter. 1-8 - Vít Fanta, Vladimír Havlena, Zdenek Hurák:
Tram Localization using Soft-Constrained Iterated Kalman Filter with Optimal Step Size Control. 1-6 - Conor Rosato, Joshua Murphy, Alessandro Varsi, Paul R. Horridge, Simon Maskell:
Enhanced SMC2: Leveraging Gradient Information from Differentiable Particle Filters Within Langevin Proposals. 1-8 - Ana Luísa Souza Castanheira da Cruz, Sidney Outeiro, Luis Filipe Kopp, Claudio Miceli de Farias:
A Deep Learning Model for Precipitation Nowcasting Using Data Fusion. 1-6 - Matti Pekkanen, Francesco Verdoja, Ville Kyrki:
Localization Under Consistent Assumptions Over Dynamics. 1-8 - Jan M. Rotter, Simon Cohrs, Holger Blume, Bernardo Wagner:
Learning of Multimodal Point Descriptors in Radar and LIDAR Point Clouds. 1-8 - Vlaho-Josip Stironja, Luka Petrovic, Juraj Persic, Ivan Markovic, Ivan Petrovic:
RAVE: A Framework for Radar Ego-Velocity Estimation. 1-6 - Felix Govaers:
On a Quantum Realization of the Bayesian Filtering Using the Log-Homotopy Flow. 1-6 - Dominik Prossel, Uwe D. Hanebeck:
Three Approaches to Approximating the Fisher Information Number for Gaussian Mixture Densities. 1-6 - Dongha Kwon, Juyoung Seo, Byungjin Lee, Sangkyung Sung:
Magnetic-Inertial Odometry Design Using Artificial AC Magnetic Fields in Outdoor Environment. 1-6 - Dominik Kulmer, Ilir Tahiraj, Andrii Chumak, Markus Lienkamp:
Multi-LiCa: A Motion- and Targetless Multi - LiDAR-to-LiDAR Calibration Framework. 1-7 - Rik Girod, Marco Hauswirth, Patrick Pfreundschuh, Mariano Biasio, Roland Siegwart:
A Robust Baro-Radar-Inertial Odometry M-Estimator for Multicopter Navigation in Cities and Forests. 1-8 - Eva Julia Schmitt, Benjamin Noack:
Consistent Stochastic Event-based Estimation Under Packet Losses Using Low-Cost Sensors. 1-7 - Markus Walker, Uwe D. Hanebeck:
Multi-Scale Uncertainty Calibration Testing for Bayesian Neural Networks Using Ball Trees. 1-7 - Hafez Kader, Robin Ströbel, Alexander Puchta, Jürgen Fleischer, Benjamin Noack, Myra Spiliopoulou:
Feature Ranking for the Prediction of Energy Consumption on CNC Machining Processes. 1-7 - Max Brandstätter, Markus Mikschi, Jelena Gabela, Finn Linzer, Hans Neuner:
Uncertainty Assessment of Poses Derived from Automatic Point Cloud Registration in the Context of Stop-and-Go Multi Sensor Robotic Systems. 1-7 - Kundan Kumar, Muhammad Iqbal, Simo Särkkä:
Risk-Sensitive Filtering under False Data Injection Attacks. 1-6 - Matti Pekkanen, Francesco Verdoja, Ville Kyrki:
Object-Oriented Grid Mapping in Dynamic Environments. 1-8 - Muyang Li, Ángel F. García-Fernández:
Iterated Posterior Linearisation Filtering for Digital Carrier Synchronisation. 1-6 - Jakob Åslund, Fredrik Gustafsson, Gustaf Hendeby:
Illustrative Examples and Possible Explanation for an Unexpected Behaviour of the Particle Filter. 1-8 - Yuxuan Xia, Ángel F. García-Fernández, Lennart Svensson:
Hybrid PHD-PMB Trajectory Smoothing Using Backward Simulation. 1-8 - Jiachen Zhou, Daniel Frisch, Uwe D. Hanebeck:
Inverse Gaussian Process Interpolation for High-Quality Assumed Gaussian Filtering. 1-8 - Bettina Hanlon, Ángel F. García-Fernández, Bei Peng:
A Comparison Between Kalman-MLE and KalmanNet for State Estimation with Unknown Noise Parameters. 1-8 - Zdenek Boucek, Miroslav Flídr:
Mission Planner for UAV Battery Replacement. 1-6 - Xingyu Liu, Esa Apriaskar, Lyudmila Mihaylova:
Deep Reinforcement Learning Method for Control of Mixed Autonomy Traffic Systems. 1-6 - Manon Kok, Arno Solin:
Online One-Dimensional Magnetic Field SLAM with Loop-Closure Detection. 1-7 - Jan Krejcí, Oliver Kost, Ondrej Straka, Jindrich Duník:
Pedestrian Tracking with Monocular Camera: Simple 2D Filter Springing From 3D Modeling. 1-6 - Jingyi Yu, Tim Pychynski, Marco F. Huber:
Causal Knowledge in Data Fusion Subject to Latent Confounding and Measurement Error. 1-8 - Pierre Pathé, Benjamin Pannetier, Olivier Bartheye:
Advancing the Detection of Abnormal Drone Behaviors: A Dynamic Bayesian Network Approach Enhanced by the Belief Function Machine. 1-6 - Jirí Ajgl, Ondrej Straka:
Dual Approach to Inverse Covariance Intersection Fusion. 1-6 - Muhammad Farhan Ahmed, Matteo Maragliano, Vincent Frémont, Carmine Tommaso Recchiuto, Antonio Sgorbissa:
Efficient Frontier Management for Collaborative Active SLAM. 1-7 - George Jones, Ángel F. García-Fernández:
GOSPA-Driven Multi-Bernoulli Gaussian Sensor Management. 1-8
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