Robot Vision
Handbook of Evolutionary Computation
Handbook of Evolutionary Computation
Using an Individual Evolution Strategy for Stereovision
Genetic Programming and Evolvable Machines
Dynamic Flies: Using Real-Time Parisian Evolution in Robotics
Proceedings of the EvoWorkshops on Applications of Evolutionary Computing
From Hough to Darwin: An Invidual Evolutionary Strategy Applied to Artificial Vision
AE '99 Selected Papers from the 4th European Conference on Artificial Evolution
Real-Time Simultaneous Localisation and Mapping with a Single Camera
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Monte carlo evaluation of the hausdorff distance for shape matching
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
| Hi-index | 0.00 |
The "fly algorithm" is a real-time evolutionary strategy designed for stereovision. Previous work has shown how to process stereo image sequences and use an evolving population of "flies" as a continuously updated representation of the scene for obstacle avoidance in a mobile robot, and the support to collect information about the environment from different sensors. In this paper, we move a step forward and show a way the fly representation may be used by a mobile robot for its own localisation and build a map of its environment (`Simultaneous Localisation And Mapping').