Trail Network Production using GPS Data
نویسنده
چکیده
The production of accurate, digital trail representations is a necessary component of map making and trail user simulation. Typically, land managers, recreationalists and those who study trail use are interested not in a single trail but in an area which contains a complex network of trails and roads. GPS receivers facilitate the capture of accurate trail and road data. When used to extract a single trail their use is straightforward. When trying to capture an entire network, the procedure is not as clear and takes either great diligence on part of those doing the collection or a great deal of post processing and organization by hand. This paper presents an automatic method of producing an accurate representation of a trail network given a number of possibly overlapping and intersecting GPS tracks.
منابع مشابه
GPS Driven Trail Simulation and Network Production
We propose to automate much of the data collection and tuning necessary for recreational modeling by utilizing Global Positioning System (GPS) data. As GPS technology becomes more ubiquitous and affordable, increasing numbers of outdoor enthusiasts are utilizing the technology for navigation and trip logging. GPS data collected by recreators can be used to both generate travel networks and to d...
متن کاملTourism Information Systems based on Trail Network Information
The purpose of this project is to develop methods for organizing and collecting information about trail networks for future use in a Tourism Information System. Some questions that are answered concern how to organize and structure the basic information as well as the location based data so that it can be processed, stored and presented in digital format. The practical work has resulted in an e...
متن کاملDevelopment of An Artificial Neural Network Model for Asphalt Pavement Deterioration Using LTPP Data
Deterioration models are important and essential part of any Pavement Management System (PMS). These models are used to predict future pavement situation based on existence condition, parameters causing deterioration and implications of various maintenance and rehabilitation policies on pavement. The majority of these models are based on roughness which is one of the most important indices in p...
متن کاملCombining Neural Network with Genetic Algorithm for prediction of S4 Parameter using GPS measurement
The ionospheric plasma bubbles cause unpredictable changes in the ionospheric electron density. These variations in the ionospheric layer can cause a phenomenon known as the ionospheric scintillation. Ionospheric scintillation could affect the phase and amplitude of the radio signals traveling through this medium. This phenomenon occurs frequently around the magnetic equator and in low latitu...
متن کاملReal-time Outdoor Trail Detection on Amobile Robot
In this paper we present a reliable approach for real-time outdoor trail following and obstacle avoidance. The trail classification is done using an off-the-shelf webcam and a pitched 2D laser scanner on a KURT2 robot equipped with an Intel Centrino laptop. This simple setup enables us to follow given pathways of different kinds using a GPS receiver for rough orientation.
متن کامل