Biblio
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(1995). Supression and creation of chaos in a periodically forced Lorenz system.
Phys. Rev. E. 52, 3558–3565.
Franz, Zhang_1995_Supression and creation of chaos in a periodically forced Lorenz system.pdf (1.45 MB)
Franz, Zhang_1995_Supression and creation of chaos in a periodically forced Lorenz system.pdf (1.45 MB)
(1996). Aktives Erwerben eines Ansichtsgraphen zur diskreten Repräsentation offener Umwelten.
(Thielscher, M., & Bornscheuer S.-E., Ed.).Fortschritte der {Künstlichen Intelligenz}. 92. Franz et al._1996_Aktives Erwerben eines Ansichtsgraphen zur diskreten Repräsentation offener Umwelten.pdf (63.1 KB)
Franz et al._1996_Aktives Erwerben eines Ansichtsgraphen zur diskreten Repräsentation offener Umwelten.pdf (63.1 KB)
(1997). Homing by parameterized scene matching.
{Proc. 4th Europ. Conf. on Artificial Life}. 236 – 245.
(1997). Learning view graphs for robot navigation.
(Johnson, W. L., Ed.).{Proc.\ 1.İntl.\ Conf.\ on Autonomous Agents}. 138 – 147. Franz et al._1998_Learning View Graphs for Robot Navigation.pdf (1.26 MB)
Franz et al._1998_Learning View Graphs for Robot Navigation.pdf (1.26 MB)
(1997). The view-graph approach to visual navigation and spatial memory.
(Gerstner, W., Germond A., Hasler M., & Nicoud J.-D., Ed.).{Proc. of the 7th Intl. Conf. on Artificial Neural Networks (ICANN 97)}. 1327, 751 – 756. Mallot et al._1997_The view-graph approach to visual navigation and spatial memory.pdf (212.16 KB)
Mallot et al._1997_The view-graph approach to visual navigation and spatial memory.pdf (212.16 KB)
(1998). Learning view graphs for robot navigation.
Autonomous Robots. 5, 111 – 125. Franz et al._1998_Learning View Graphs for Robot Navigation.pdf (1.26 MB)
Franz et al._1998_Learning View Graphs for Robot Navigation.pdf (1.26 MB)
(1998). Minimalistic visual navigation.
Fortschr.-Ber. VDI Reihe 8.
(1998). Navigation in real and virtual environments: judging orientation and distance in a large-scale landscape.
(Goebel, M., Lang U., Landauer J., & Walper M., Ed.).{Virtual Environment 98: Proc. of the Eurographics Workshop 1998}. 124 – 133.
(1998). Navigation mit Schnappschüssen..
(Levi, P., Ahlers R.-J., May F., & Schanz M., Ed.).{Mustererkennung 1998. Proc. of the 20th DAGM-Symposium}. 412-428. Franz et al._1998_Navigation mit Schnappschüssen.pdf (300.5 KB)
Franz et al._1998_Navigation mit Schnappschüssen.pdf (300.5 KB)
(1998). VS-neurons as matched filters for self-motion-induced optic flow fields.
(Elsner, N., & Wehner R., Ed.).{New Neuroethology on the Move}. II, 419.
(1998). Where did I take that snapshot? Scene-based homing by image matching.
Biol. Cybern.. 79, 191 – 202. Franz et al._1998_Where did I take that snapshot Scene-based homing by image matching.pdf (488.99 KB)
Franz et al._1998_Where did I take that snapshot Scene-based homing by image matching.pdf (488.99 KB)
(1999). Can fly tangential neurons be used to estimate self-motion?.
(Willshaw, D., & Murray A., Ed.).{Proc. of the 9th Intl. Conf. on Artificial Neural Networks (ICANN 1999)}. CP 470, 994-999. Franz et al._1999_Can fly tangential neurons be used to estimate self-motion.pdf (170.74 KB)
Franz et al._1999_Can fly tangential neurons be used to estimate self-motion.pdf (170.74 KB)
(1999). Recognition-triggered response and the view-graph approach to spatial cognition.
(Freksa, C., & Mark D. M., Ed.).{Spatial Information Theory - Cognitive and Computational Foundations of Geographic Information Science (COSIT 99)}. 1661, 367-380.
(1999). On robots and flies: Modeling the visual orientation behavior of flies.
Robotics and Autonomous Systems. 29, 227–242. Huber, Franz, Bülthoff_1999_On robots and flies Modeling the visual orientation behavior of flies.pdf (473.13 KB)
Huber, Franz, Bülthoff_1999_On robots and flies Modeling the visual orientation behavior of flies.pdf (473.13 KB)
(2000). Biomimetic robot navigation.
Robotics and Autonomous Systems. 30, 133 – 153. Franz, Mallot_2000_Biomimetic robot navigation.pdf (171.77 KB)
Franz, Mallot_2000_Biomimetic robot navigation.pdf (171.77 KB)
(2000). Subliminale Darbietung verkehrsrelevanter Information in Kraftfahrzeugen.
(Bülthoff, H. H., Gegenfurtner K. R., & Mallot H. A., Ed.).{Proc. 3. Tübinger Wahrnehmungskonferenz (TWK 20009)}. 98.
(2000). Wide-field, motion-sensitive neurons and matched filters for optic flow fields.
Biol. Cybern.. 83, 185 – 197. Franz, Krapp_2000_Wide-field, motion-sensitive neurons and matched filters for optic flow fields.pdf (261.7 KB)
Franz, Krapp_2000_Wide-field, motion-sensitive neurons and matched filters for optic flow fields.pdf (261.7 KB)
(2001). Extracting egomotion from optic flow: limits of accuracy and neural matched filters.
(Zanker, J. M., & Zeil J., Ed.).{Motion Vision: Computational, Neural and Ecological Constraints}. 143-168. Dahmen, Franz, Krapp_2001_Extracting egomotion from optic flow- limits of accuracy and neural matched filters.pdf (223.04 KB)
Dahmen, Franz, Krapp_2001_Extracting egomotion from optic flow- limits of accuracy and neural matched filters.pdf (223.04 KB)
(2002). Insect-inspired estimation of self-motion.
(Bülthoff, H. H., Lee S.-W., Poggio T. A., & Wallraven C., Ed.).{Proc. 2nd Workshop on Biologically Motivated Computer Vision (BMCV 2002)}. 2525, 171-180. Franz, Chahl_2002_Insect-inspired estimation of self-motion.pdf (274.5 KB)
Franz, Chahl_2002_Insect-inspired estimation of self-motion.pdf (274.5 KB)
(2002). Optimal linear estimation of self-motion - a real-world test of a model of fly tangential neurons.
(Prescott, T., & Webb B., Ed.).{SAB02 Workshop on Robotics as Theoretical Biology}.
(2003). Constraints measures and reproduction of style in robot imitation learning.
(Bülthoff, H. H., Gegenfurtner K. R., Mallot H. A., Ulrich R., & Wichmann F. A., Ed.).{Proc. 6. Tübinger Wahrnehmungskonferenz (TWK 2003)}. 70.
(2003). Hierarchical spatio-temporal morphable models for representation of complex movements for imitation learning.
(Nunes, U., de Almeida A., Bejczy A., Kosuge K., & Machado J., Ed.).{Proc. of the 11th International Conference on Advanced Robotics}. 2, 453–458. Ilg et al._2003_Hierarchical spatio-temporal morphable models for representation of complex movements for imitation learning.pdf (716.98 KB)
Ilg et al._2003_Hierarchical spatio-temporal morphable models for representation of complex movements for imitation learning.pdf (716.98 KB)
(2003). Linear combinations of optic flow vectors for estimating self-motion-a real-world test of a neural model.
(Becker, S., Obermayer K., & Thrun S., Ed.).{Advances in Neural Information Processing Systems 15}. 1343–1350.
(2003). A representation of complex movement sequences based on hierarchical spatio-temporal correspondence for imitation learning in robotics.
(Bülthoff, H. H., Gegenfurtner K. R., Mallot H. A., Ulrich R., & Wichmann F. A., Ed.).{Proc. 6. Tübinger Wahrnehmungskonferenz (TWK 2003)}. 74.
(2003). Robots with cognition?.
(Bülthoff, H. H., Gegenfurtner K. R., Mallot H. A., Ulrich R., & Wichmann F. A., Ed.).{Proc. 6. Tübinger Wahrnehmungskonferenz (TWK 2003)}.