Biblio

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Author Title Type [ Year(Desc)]
Filters: Author is M O Franz  [Clear All Filters]
1997
[Anonymous] (1997).  Homing by parameterized scene matching. {Proc. 4th Europ. Conf. on Artificial Life}. 236 – 245.
[Anonymous] (1997).  Learning view graphs for robot navigation. {Proc.\ 1.İntl.\ Conf.\ on Autonomous Agents}. 138 – 147.PDF icon Franz et al._1998_Learning View Graphs for Robot Navigation.pdf (1.26 MB)
[Anonymous] (1997).  The view-graph approach to visual navigation and spatial memory. {Proc. of the 7th Intl. Conf. on Artificial Neural Networks (ICANN 97)}. 1327, 751 – 756.PDF icon Mallot et al._1997_The view-graph approach to visual navigation and spatial memory.pdf (212.16 KB)
1998
[Anonymous] (1998).  Learning view graphs for robot navigation. Autonomous Robots. 5, 111 – 125.PDF icon Franz et al._1998_Learning View Graphs for Robot Navigation.pdf (1.26 MB)
[Anonymous] (1998).  Minimalistic visual navigation. Fortschr.-Ber. VDI Reihe 8.
[Anonymous] (1998).  Navigation in real and virtual environments: judging orientation and distance in a large-scale landscape. {Virtual Environment 98: Proc. of the Eurographics Workshop 1998}. 124 – 133.
[Anonymous] (1998).  Navigation mit Schnappschüssen.. {Mustererkennung 1998. Proc. of the 20th DAGM-Symposium}. 412-428.PDF icon Franz et al._1998_Navigation mit Schnappschüssen.pdf (300.5 KB)
[Anonymous] (1998).  VS-neurons as matched filters for self-motion-induced optic flow fields. {New Neuroethology on the Move}. II, 419.
[Anonymous] (1998).  Where did I take that snapshot? Scene-based homing by image matching. Biol. Cybern.. 79, 191 – 202.PDF icon Franz et al._1998_Where did I take that snapshot Scene-based homing by image matching.pdf (488.99 KB)
1999
[Anonymous] (1999).  Can fly tangential neurons be used to estimate self-motion?. {Proc. of the 9th Intl. Conf. on Artificial Neural Networks (ICANN 1999)}. CP 470, 994-999.PDF icon Franz et al._1999_Can fly tangential neurons be used to estimate self-motion.pdf (170.74 KB)
[Anonymous] (1999).  Recognition-triggered response and the view-graph approach to spatial cognition. {Spatial Information Theory - Cognitive and Computational Foundations of Geographic Information Science (COSIT 99)}. 1661, 367-380.
[Anonymous] (1999).  On robots and flies: Modeling the visual orientation behavior of flies. Robotics and Autonomous Systems. 29, 227–242.PDF icon Huber, Franz, Bülthoff_1999_On robots and flies Modeling the visual orientation behavior of flies.pdf (473.13 KB)
2000
[Anonymous] (2000).  Biomimetic robot navigation. Robotics and Autonomous Systems. 30, 133 – 153.PDF icon Franz, Mallot_2000_Biomimetic robot navigation.pdf (171.77 KB)
[Anonymous] (2000).  Subliminale Darbietung verkehrsrelevanter Information in Kraftfahrzeugen. {Proc. 3. Tübinger Wahrnehmungskonferenz (TWK 20009)}. 98.
[Anonymous] (2000).  Wide-field, motion-sensitive neurons and matched filters for optic flow fields. Biol. Cybern.. 83, 185 – 197.PDF icon Franz, Krapp_2000_Wide-field, motion-sensitive neurons and matched filters for optic flow fields.pdf (261.7 KB)
2002
[Anonymous] (2002).  Insect-inspired estimation of self-motion. {Proc. 2nd Workshop on Biologically Motivated Computer Vision (BMCV 2002)}. 2525, 171-180.PDF icon Franz, Chahl_2002_Insect-inspired estimation of self-motion.pdf (274.5 KB)
[Anonymous] (2002).  Optimal linear estimation of self-motion - a real-world test of a model of fly tangential neurons. {SAB02 Workshop on Robotics as Theoretical Biology}.
2003
[Anonymous] (2003).  Constraints measures and reproduction of style in robot imitation learning. {Proc. 6. Tübinger Wahrnehmungskonferenz (TWK 2003)}. 70.
[Anonymous] (2003).  Hierarchical spatio-temporal morphable models for representation of complex movements for imitation learning. {Proc. of the 11th International Conference on Advanced Robotics}. 2, 453–458.PDF icon Ilg et al._2003_Hierarchical spatio-temporal morphable models for representation of complex movements for imitation learning.pdf (716.98 KB)
[Anonymous] (2003).  Linear combinations of optic flow vectors for estimating self-motion-a real-world test of a neural model. {Advances in Neural Information Processing Systems 15}. 1343–1350.
[Anonymous] (2003).  A representation of complex movement sequences based on hierarchical spatio-temporal correspondence for imitation learning in robotics. {Proc. 6. Tübinger Wahrnehmungskonferenz (TWK 2003)}. 74.
[Anonymous] (2003).  Robots with cognition?. {Proc. 6. Tübinger Wahrnehmungskonferenz (TWK 2003)}.

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