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2020 – today
- 2024
[j2]Yakov Miron
, Florian Drews, Florian Faion, Dotan Di Castro, Itzik Klein:
RCF-TP: Radar-Camera Fusion With Temporal Priors for 3D Object Detection. IEEE Access 12: 127212-127223 (2024)- 2023
- [c29]Felicia Ruppel, Florian Faion, Claudius Gläser, Klaus Dietmayer:
Group Regression for Query Based Object Detection and Tracking. ITSC 2023: 2677-2684 - [i10]Felicia Ruppel, Florian Faion, Claudius Gläser, Klaus Dietmayer:
Group Regression for Query Based Object Detection and Tracking. CoRR abs/2308.14481 (2023) - 2022
- [c28]Florian Drews, Di Feng, Florian Faion, Lars Rosenbaum, Michael Ulrich, Claudius Gläser:
DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars. IROS 2022: 560-567 - [c27]Michael Ulrich, Sascha Braun, Daniel Köhler, Daniel Niederlöhner, Florian Faion, Claudius Gläser, Holger Blume:
Improved Orientation Estimation and Detection with Hybrid Object Detection Networks for Automotive Radar. ITSC 2022: 111-117 - [c26]Felicia Ruppel, Florian Faion, Claudius Gläser, Klaus Dietmayer:
Transformers for Object Detection in Large Point Clouds. ITSC 2022: 832-838 - [c25]Daniel Niederlöhner, Michael Ulrich, Sascha Braun, Daniel Köhler, Florian Faion, Claudius Gläser, André Treptow, Holger Blume:
Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks. IV 2022: 352-359 - [c24]Felicia Ruppel, Florian Faion, Claudius Gläser, Klaus Dietmayer:
Transformers for Multi-Object Tracking on Point Clouds. IV 2022: 852-859 - [i9]Jasmine Richter, Florian Faion, Di Feng, Paul Benedikt Becker, Piotr Sielecki, Claudius Gläser:
Understanding the Domain Gap in LiDAR Object Detection Networks. CoRR abs/2204.10024 (2022) - [i8]Michael Ulrich, Sascha Braun, Daniel Köhler, Daniel Niederlöhner, Florian Faion, Claudius Gläser, Holger Blume:
Improved Orientation Estimation and Detection with Hybrid Object Detection Networks for Automotive Radar. CoRR abs/2205.02111 (2022) - [i7]Felicia Ruppel, Florian Faion, Claudius Gläser, Klaus Dietmayer:
Transformers for Multi-Object Tracking on Point Clouds. CoRR abs/2205.15730 (2022) - [i6]Daniel Niederlöhner, Michael Ulrich, Sascha Braun, Daniel Köhler, Florian Faion, Claudius Gläser, André Treptow, Holger Blume:
Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks. CoRR abs/2207.03146 (2022) - [i5]Florian Drews, Di Feng, Florian Faion, Lars Rosenbaum, Michael Ulrich, Claudius Gläser:
DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars. CoRR abs/2209.12729 (2022) - [i4]Felicia Ruppel, Florian Faion, Claudius Gläser, Klaus Dietmayer:
Transformers for Object Detection in Large Point Clouds. CoRR abs/2209.15258 (2022) - [i3]Felicia Ruppel, Florian Faion, Claudius Gläser, Klaus Dietmayer:
Can Transformer Attention Spread Give Insights Into Uncertainty of Detected and Tracked Objects? CoRR abs/2210.14391 (2022) - 2020
- [i2]Gerhard Kurz, Florian Faion, Florian Pfaff, Antonio Zea, Uwe D. Hanebeck:
Three-dimensional Simultaneous Shape and Pose Estimation for Extended Objects Using Spherical Harmonics. CoRR abs/2012.13580 (2020)
2010 – 2019
- 2017
- [c23]Selim Ozgen, Florian Faion, Antonio Zea, Uwe D. Hanebeck:
A non-parametric inference technique for shape boundaries in noisy point clouds. MFI 2017: 626-631 - 2016
- [b1]Florian Faion:
Tracking Extended Objects in Noisy Point Clouds with Application in Telepresence Systems. Karlsruhe Institute of Technology, Germany, 2016 - [j1]Antonio Zea, Florian Faion, Marcus Baum, Uwe D. Hanebeck:
Level-set random hypersurface models for tracking nonconvex extended objects. IEEE Trans. Aerosp. Electron. Syst. 52(6): 2990-3007 (2016) - [c22]Florian Faion, Maxim Dolgov, Antonio Zea, Uwe D. Hanebeck:
Closed-form bias reduction for shape estimation with polygon models. FUSION 2016: 581-588 - [c21]Antonio Zea, Florian Faion, Uwe D. Hanebeck:
Tracking elongated extended objects using splines. FUSION 2016: 612-619 - [c20]Jannik Steinbring, Christian Mandery, Florian Pfaff, Florian Faion, Tamim Asfour, Uwe D. Hanebeck:
Real-time whole-body human motion tracking based on unlabeled markers. MFI 2016: 583-590 - [c19]Antonio Zea, Florian Faion, Jannik Steinbring, Uwe D. Hanebeck:
Exploiting negative measurements for tracking star-convex extended objects. MFI 2016: 622-628 - [c18]Florian Faion, Antonio Zea, Benjamin Noack, Jannik Steinbring, Uwe D. Hanebeck:
Camera- and IMU-based pose tracking for augmented reality. MFI 2016: 648-653 - 2015
- [c17]Florian Faion, Antonio Zea, Marcus Baum, Uwe D. Hanebeck:
Partial likelihood for unbiased extended object tracking. FUSION 2015: 1022-1029 - [c16]Antonio Zea, Florian Faion, Uwe D. Hanebeck:
Exploiting clutter: Negative information for enhanced extended object tracking. FUSION 2015: 1030-1037 - [c15]Antonio Zea, Florian Faion, Uwe D. Hanebeck:
Shape tracking using Partial Information Models. MFI 2015: 1-6 - [c14]Florian Faion, Marcus Baum, Antonio Zea, Uwe D. Hanebeck:
Depth sensor calibration by tracking an extended object. MFI 2015: 19-24 - [c13]Jannik Steinbring, Marcus Baum, Antonio Zea, Florian Faion, Uwe D. Hanebeck:
A closed-form likelihood for Particle Filters to track extended objects with star-convex RHMs. MFI 2015: 25-30 - [c12]Florian Faion, Antonio Zea, Jannik Steinbring, Marcus Baum, Uwe D. Hanebeck:
Recursive Bayesian pose and shape estimation of 3D objects using transformed plane curves. SDF 2015: 1-6 - 2014
- [c11]Florian Faion, Antonio Zea, Uwe D. Hanebeck:
Reducing bias in Bayesian shape estimation. FUSION 2014: 1-8 - [c10]Antonio Zea, Florian Faion, Uwe D. Hanebeck:
Tracking connected objects using interacting shape models. FUSION 2014: 1-8 - [c9]Antonio Zea, Florian Faion, Marcus Baum, Uwe D. Hanebeck:
Tracking simplified shapes using a stochastic boundary. SAM 2014: 221-224 - [i1]Jesús Muñoz Morcillo, Florian Faion, Antonio Zea, Uwe D. Hanebeck, Caroline Y. Robertson-von Trotha:
e-Installation: Synesthetic Documentation of Media Art via Telepresence Technologies. CoRR abs/1408.1362 (2014) - 2013
- [c8]Antonio Zea, Florian Faion, Marcus Baum, Uwe D. Hanebeck:
Level-Set Random Hypersurface Models for tracking non-convex extended objects. FUSION 2013: 1760-1767 - [c7]Florian Faion, Marcus Baum, Uwe D. Hanebeck:
Silhouette measurements for Bayesian object tracking in noisy point clouds. FUSION 2013: 1974-1980 - [c6]Gerhard Kurz, Florian Faion, Uwe D. Hanebeck:
Constrained object tracking on compact one-dimensional manifolds based on directional statistics. IPIN 2013: 1-9 - 2012
- [c5]Florian Faion, Patrick Ruoff, Antonio Zea, Uwe D. Hanebeck:
Recursive Bayesian calibration of depth sensors with non-overlapping views. FUSION 2012: 757-762 - [c4]Florian Faion, Marcus Baum, Uwe D. Hanebeck:
Tracking 3D shapes in noisy point clouds with Random Hypersurface Models. FUSION 2012: 2230-2235 - [c3]Marcus Baum, Florian Faion, Uwe D. Hanebeck:
Modeling the target extent with multiplicative noise. FUSION 2012: 2406-2412 - [c2]Florian Faion, Simon Friedberger, Antonio Zea, Uwe D. Hanebeck:
Intelligent sensor-scheduling for multi-kinect-tracking. IROS 2012: 3993-3999 - [c1]Marcus Baum, Florian Faion, Uwe D. Hanebeck:
Tracking ground moving extended objects using RGBD data. MFI 2012: 186-191
Coauthor Index
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last updated on 2024-10-07 22:08 CEST by the dblp team
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