The uses of road map in daily activities are numerous but it is a hassle to construct and update a road map whenever there are changes. In Universiti Malaysia Sarawak, research on Automatic Road Extraction (ARE) was explored to solve the difficulties in updating road map. The research started with using Satellite Image (SI), or in short, the ARE-SI project. A Hybrid Simple Colour Space Segmenta...

MABENA model is a complementary model in comparison with traditional models such as HCMS, CMS and etc. New factors, which have effects on preparation of strategic plans and their sequential order in MABENA model is the platform of presented road map in this paper.Study review shows, factors such as emerging new critical success factors for strategic planning, improvement of international strate...

A well-developed road network allows all forest activities, including wood harvesting, firefighting and recreational activities. However, forest road construction and maintenance involve economic and environmental costs. For these reasons, forest road network planning is a fundamental phase of forest management, maximising the benefits and reducing costs and impacts. Thanks to modern technologi...

In crowdsourced map services, digital maps are created and updated manually by volunteered users. Existing service providers usually provide users with a feature-rich map editor to add, drop, and modify roads. To make the map data more useful for widely-used applications such as navigation systems and travel planning services, it is important to provide not only the topology of the road network...

Preface Planning and Scheduling is the field of Artificial Intelligence that is concerned with all aspects of the system-supported or fully automated synthesis, execution, and monitoring of courses of actions, activities, and tasks. With that, it provides a technology for increasing the autonomy of systems by making them more flexible, robust, and adaptive. Consequently, it has a particularly l...

This paper presents a Probabilistic Road Map (PRM) motion planning algorithm to be queried within Dynamic Robot Networks—a multi-robot coordination platform for robots operating with limited sensing and inter-robot communication. First, the Dynamic Robot Networks (DRN) coordination platform is introduced that facilitates centralized robot coordination across ad hoc networks, allowing safe navig...

This paper presents a new algorithm for computing timedistance transformations of a road network based on modified multidimensional scaling. The algorithm is designed to perform on a realworld road network, and provides alternative visualisations for travel time cognition and route planning. Several extensions are explored, including user-centric and route-centric road map transformations. Our ...

In this paper, an approach is presented to automatically allocate a set of exploration tasks between a fleet of mobile robots. The approach combines a Road-Map technique and Markovian Decision Processes (MDPs). The addressed problem consists of exploring an area where a set of points of interest characterizes the main positions to be visited by the robots. This problem induces a long term horiz...

forests as a renewable source has effective and useful role in economic and social activities of society. network of forest roads as infrastructure division’s forest planning units (compartments) of forest management plans, management, logging, exit of wood and plays a major role forest protection. aim of this study, designed forest road network according to multi-purpose forestry using the net...

This paper presents a technique for motion planning which is capable of planning trajectories for a large number of nonholonomic robots. The robots plan within a two dimensional environment that consists of stationary/moving obstacles, and fixed boundaries. Each robot uses randomized motion planner techniques based on Probabilistic Road Maps (PRM’s) to construct it’s own trajectory that is free...