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Daniel Meyer-Delius
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2010 – 2019
- 2013
- [j2]Gian Diego Tipaldi, Daniel Meyer-Delius, Wolfram Burgard
:
Lifelong localization in changing environments. Int. J. Robotics Res. 32(14): 1662-1678 (2013) - [c9]Stefan Loibl, Daniel Meyer-Delius, Patrick Pfaff:
Probabilistic time-dependent models for mobile robot path planning in changing environments. ICRA 2013: 5545-5550 - 2012
- [c8]Daniel Meyer-Delius, Maximilian Beinhofer, Wolfram Burgard:
Occupancy Grid Models for Robot Mapping in Changing Environments. AAAI 2012: 2024-2030 - [p1]Kai Oliver Arras, Boris Lau, Slawomir Grzonka, Matthias Luber, Óscar Martínez Mozos
, Daniel Meyer-Delius, Wolfram Burgard:
Range-Based People Detection and Tracking for Socially Enabled Service Robots. Towards Service Robots for Everyday Environments 2012: 235-280 - 2011
- [b1]Daniel Meyer-Delius:
Probabilistic modeling of dynamic environments for mobile robots (Wahrscheinlichkeitstheoretische Modellierung dynamischer Umgebungen für mobile Roboter). University of Freiburg, Germany, 2011 - [c7]Daniel Meyer-Delius, Maximilian Beinhofer, Alexander Kleiner, Wolfram Burgard:
Using artificial landmarks to reduce the ambiguity in the environment of a mobile robot. ICRA 2011: 5173-5178 - [c6]Alexander Kleiner, Dali Sun, Daniel Meyer-Delius:
ARMO: Adaptive road map optimization for large robot teams. IROS 2011: 3276-3282 - 2010
- [j1]Daniel Meyer-Delius, Wolfram Burgard:
Maximum-likelihood sample-based maps for mobile robots. Robotics Auton. Syst. 58(2): 133-139 (2010) - [c5]Daniel Meyer-Delius, Jürgen Hess, Giorgio Grisetti
, Wolfram Burgard:
Temporary maps for robust localization in semi-static environments. IROS 2010: 5750-5755
2000 – 2009
- 2009
- [c4]Daniel Meyer-Delius, Christian Plagemann, Wolfram Burgard:
Probabilistic situation recognition for vehicular traffic scenarios. ICRA 2009: 459-464 - [c3]Daniel Meyer-Delius, Jürgen Sturm, Wolfram Burgard:
Regression-based online situation recognition for vehicular traffic scenarios. IROS 2009: 1711-1716 - 2007
- [c2]Daniel Meyer-Delius, Wolfram Burgard:
Maximum-Likelihood Sample-Based Maps for Mobile Robots. EMCR 2007 - [c1]Daniel Meyer-Delius, Christian Plagemann, Georg von Wichert, Wendelin Feiten, Gisbert Lawitzky, Wolfram Burgard:
A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems. GfKl 2007: 269-276
Coauthor Index

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