Bibliography

1

M. S. Bazaraa, H. D. Sherali, and C. M. Shetty.
Nonlinear Programming, Theory and Algorithms.
John Wiley & Sons, Inc., second edition, 1993.

2

S. S. Beauchemin and J. L. Barron.
The computation of optical flow.
ACM Computing Surveys, 27(3):433-467, 1995.

3

M. Bertozzi, A. Broggi, and A. Fascioli.
Vision-based intelligent vehicles: State of the art and perspectives.
Robotics and Autonomous Systems, 32:1-16, 2000.

4

Christopher M. Bishop.
Neural networks for pattern recognition.
Oxford University Press, 1995.

5

S. Cameron, S. Grossberg, and F. H. Guenther.
A self-organizing neural network architecture for navigation using optic flow.
Technical report, Boston University Center for Adaptive Systems, Department of Cognitive and Neural Systems, Boston, MA, December 1995.

6

Stella Cicirelli Distante.
Self-location of a mobile robot with uncertainty by cooperation of an heading sensor and a CCD TV camera.

7

A. P. Duchon, W. H. Warren, and L. P. Kaelbling.
Ecological robotics: Controlling behavior with optical flow.
In Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society, pages 164-169, 1994.

8

T. Duckett and U. Nehmzow.
Quantitative analysis of mobile robot localisation systems.
Technical Report UMCS-97-9-1, Department of Computer Science, University of Manchester, Manchester M13 9PL, UK, September 1997.

9

C. Facchinetti, F. Tièche, and H. Hügli.
Three vision-based behaviors for self-positioning a mobile robot.
In Proceedings of Intelligent Autonomous Systems, March 1995.

10

O. Faugeras.
Three-Dimensional Computer Vision, A Geometric Viewpoint.
The MIT Press, Massachusetts Institute of Technology, Cambridge, Massachusetts, 1993.

11

Flannery, Press, Teukolsky, and Vetterling.
Numerical recipes in C : The art of scientific computing.
Cambridge University Press, 1988.

12

M. O. Franz and H. A. Mallot.
Biomimetic robot navigation.
Robotics and Autonomous Systems, 30:133-153, 2000.

13

S. A. Huber, M. O. Franz, and H. H. Bülthoff.
On robots and flies: Modeling the visual orientation behavior of flies.
Robotics and Autonomous Systems, 29:227-242, 1999.

14

Nomadic Techonlogies Inc.
http://www.robots.com, 1999.

15

D. Kortenkamp, M. Huber, F. Koss, W. Belding, J. Lee, A. Wu, C. Bidlack, and S. Rodgers.
Mobile robot exploration and navigation of indoor spaces using sonar and vision.
In AIAA/NASA Conference in Intelligent Robots in Field, Factory, Service, and Space, 1994.

16

P. C. Martin.
Real Time Image Processing For Mobile Robot Control.
MSc Thesis, University Of Manchester, 1995.

17

J. Matas, C. Galambos, and J. Kittler.
Progressive probabilistic Hough transform.
In British Machine Vision Conference, pages 256-265, 1998.

18

M. Minoux.
Mathematical Programming, Theory and Algorithms.
Series in discrete mathematics and optimization. Wiley-Interscience Publication, 1986.

19

Tom M. Mitchell.
Machine Learning.
Computer Science. McGraw-Hill, 1997.

20

Ulrich Nehmzow.
Mobile Robotics: A Practical Introduction.
Applied Computing. Springer, 2000.

21

Nomadic Technologies Inc.
Nomad 200 User's Manual, 1995.
Software version 2.6.

22

Nomadic Technologies Inc.
Scout Beta 1.1 User's Manual, 1998.
Software version 2.6.

23

G. M. Quénot.
The "orthogonal algorithm" for optical flow detection using dynamic programming.
In Proceedings of the International Conference on Acoustics, Speech and Signal Processing, pages 249-252, NY, USA, March 1992. IEEE New York.

24

Nicholas Roy and Sebastian Thrun.
Online self-calibration for mobile robots.
In Proceedings of the IEEE International Conference on Robotics and Automation, 1999.

25

G. Sandini, J. Santos-Victor, F. Curotto, and S. Garibaldi.
Robotic bees.
Technical report, University of Genova, Laboratory for Integrated Advances Robotics, October 1992.

26

J. Santos-Victor, G. Sandini, F. Curotto, and S. Garibaldi.
Divergent stereo in autonomous navigation: From bees to robots.
International Journal of Computer Vision, 14:159-177, March 1995.

27

M. Sonka, V. Hlavac, and R. Boyle.
Image Processing, Analysis, and Machine Vision.
Brooks/Cole Publishing Company, second edition, 1999.

28

M. V. Srinivasan, J. S. Chahl, K. Weber, S. Venkatesh, M. G. Nagle, and S. W. Zhang.
Robot navigation inspired by principles of insect vision.
Robotics and Autonomous Systems, 26:203-216, 1999.

29

M. V. Srinivasan, S. W. Zhang, and M. Lehrer.
Honeybee navigation: odometry with monocular input.
Animal Behaviour, 56:1245-1259, April 1998.

30

D. Terzopoulos and T. F. Rabie.
Animat vision: Active vision in artificial animals.
In Proceedings of the Fifth International Conference on Computer Vision, pages 801-808. IEEE Computer Society Press, June 1995.

31

N. D. Tillett, T. Hague, and J. A. Marchant.
A robotic system for plant-scale husbandry.
Journal of Agricultural Engineering Research, 69:169-178, 1998.

32

K. Weber, S. Venkatesh, and D. Kieronska.
Insect based navigation and its application to the autonomous control of mobile robots.
In Third International Conference on Automation, Robotics and Computer Vision, 1994.