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Matthias Rapp
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2020 – today
- 2024
- [i2]Robin Gerster, Holger Caesar, Matthias Rapp, Alexander Wolpert, Michael Teutsch:
OSSA: Unsupervised One-Shot Style Adaptation. CoRR abs/2410.00900 (2024)
2010 – 2019
- 2017
- [j2]Matthias Rapp, Michael Barjenbruch, Markus Hahn, Jürgen Dickmann, Klaus Dietmayer:
Probabilistic ego-motion estimation using multiple automotive radar sensors. Robotics Auton. Syst. 89: 136-146 (2017) - 2016
- [c7]Matthias Rapp, Klaus Dietmayer, Markus Hahn, Bharanidhar Duraisamy, Jürgen Dickmann:
Hidden Markov model-based occupancy grid maps of dynamic environments. FUSION 2016: 1780-1788 - [c6]Frank Schuster, Christoph Gustav Keller, Matthias Rapp, Martin Haueis, Cristóbal Curio:
Landmark based radar SLAM using graph optimization. ITSC 2016: 2559-2564 - [c5]Peter Broßeit, Matthias Rapp, Nils Appenrodt, Jürgen Dickmann:
Probabilistic rectangular-shape estimation for extended object tracking. Intelligent Vehicles Symposium 2016: 279-285 - [i1]Markus Thom, Matthias Rapp, Günther Palm:
Efficient Dictionary Learning with Sparseness-Enforcing Projections. CoRR abs/1604.04767 (2016) - 2015
- [j1]Markus Thom, Matthias Rapp, Günther Palm:
Efficient Dictionary Learning with Sparseness-Enforcing Projections. Int. J. Comput. Vis. 114(2-3): 168-194 (2015) - [c4]Matthias Rapp, Michael Barjenbruch, Klaus Dietmayer, Markus Hahn, Jürgen Dickmann:
A fast probabilistic ego-motion estimation framework for radar. ECMR 2015: 1-6 - [c3]Matthias Rapp, Markus Hahn, Markus Thom, Jürgen Dickmann, Klaus Dietmayer:
Semi-Markov Process Based Localization Using Radar in Dynamic Environments. ITSC 2015: 423-429 - [c2]Matthias Rapp, Tilmann Giese, Markus Hahn, Jürgen Dickmann, Klaus Dietmayer:
A Feature-Based Approach for Group-Wise Grid Map Registration. ITSC 2015: 511-516 - [c1]Matthias Rapp, Michael Barjenbruch, Markus Hahn, Jürgen Dickmann, Klaus Dietmayer:
Clustering improved grid map registration using the normal distribution transform. Intelligent Vehicles Symposium 2015: 249-254
Coauthor Index
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last updated on 2024-11-06 20:29 CET by the dblp team
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