The classical approach for road network generalization consists of producing multiple maps, for a different scale or purpose, from a single detailed data source and quite often roads are represented by line objects. Our target is the generalization of a road network for the whole scale range from large scale, where roads are represented as area objects, to mid and small scales, where roads are ...

In this paper, a Laser simulator search graph approach for free-path search graph in complex unstructured environments has been developed and implemented for a robust mobile robot navigation system through the roundabout environments settings. The principle and methodology of laser simulator approach was clearly presented and explained for visibility searching of the optimum path in unknown env...

This study aims to assess landslide susceptibility in Pahne Kola watershed located in the south of Sari, based on bivariate logistic regression. For this purpose, the distribution map of the area’s landslides was firstly prepared in ArcGIS software. Eight effective factors on landslide event including elevation, slope, slope aspect, rainfall, land use, distance from the road, soil and geology w...

In the recent years a number of novel, automatic map-inference techniques have been proposed, which derive road-network from a cohort of GPS traces collected by a fleet of vehicles. In spite of considerable attention, these maps are imperfect in many ways: they create an abundance of spurious connections, have poor coverage, and are visually confusing. Hence, commercial and crowd-sourced mappin...

an urban map, the procedure composes the road-network by searching the roads from each intersection. Next, it In this paper, we propose an experimental method to modifies the road-network by interpreting the original urrecognize roads from an urban map on the basis of the ban map and the network simultaneously with heuristic road-network. The road-network is a conceptual graph knowledges about ...

We describe an efficient method for path planning in environments for which prior maps are plagued with uncertainty. Our approach processes the map to determine key areas whose uncertainty is crucial to the planning task. It then incorporates the uncertainty associated with these areas using the recently developed PAO* algorithm to produce a fast, robust solution to the original planning task. ...

quantifying urban landscape is fundamental for monitoring and assessing ecological and socioeconomic consequences of urbanization. expansion of roads is a significant factor driving urban landscape change. the aim of this research is quantifying impacts of roads on isfahan city landscape. to achieve this aim, land use map of isfahan was created in 6 classes: urban, green spaces, agricultural, b...