Management of multi-modal data is a classical problem in data mining and exploration. Geographic Information Systems usually store multi-modal data and employ them in spatial and image analysis. This paper proposes a fusion of multi-modal data in the context of line detection with Fuzzy Hough Transform (FHT). The goal of this work is to simulate the Roman streets according to periods from parti...

In order to realize 3D modeling and refinement of buildings in a digital 2D residential map using range images of the streets, we match range images of streets with the digital map. After pattern lines of the range images are determined using edge detection and depth analysis, they are matched with pattern lines of the digital map using a pattern matching algorithm based on dynamic programming....

The availability of very high spatial resolution satellite images over urban areas is recent. The very high spatial resolution enables a real representation of streets on a map, but generates a significant increase of noise. A state-of the-art on road and street extraction with the evolution from linear to surface models for road and street is proposed. Then, a method for extracting urban stree...

Two players are lost in a grid of city streets and wish to meet as soon as possible. Knowing only the distribution of the other’s initial location (two nodes away in one of the four compass directions), how do they move from intersection to intersection (between nodes of the lattice Z) to achieve this? We assume that they do not have common compass directions to coordinate on, but that they can...

This paper presents an approximation of navigation problem under unknown environment using reinforcement learning. The motivation is to represent a robot that can move in a world with streets and intersections. Each intersection has a different quantity of streets (irregular blocks). The selected algorithms were Q-Learning and Value Iteration. The robot was programmed only with Q-Learning and w...