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Wyszukujesz frazę "urban navigation" wg kryterium: Temat


Wyświetlanie 1-6 z 6
Tytuł:
Modeling 3D Objects for Navigation Purposes Using Laser Scanning
Autorzy:
Specht, C.
Dąbrowski, P.
Dumalski, A.
Hejbudzka, K.
Powiązania:
https://bibliotekanauki.pl/articles/117139.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
modeling 3D objects
laser scanning
3D objects
urban navigation
complex building navigation
Global Positioning System (GPS)
Gdynia Maritime University (GMU)
time of flight (TOF)
Opis:
The paper discusses the creation of 3d models and their applications in navigation. It contains a review of available methods and geometric data sources, focusing mostly on terrestrial laser scanning. It presents detailed description, from field survey to numerical elaboration, how to construct accurate model of a typical few storey building as a hypothetical reference in complex building navigation. Hence, the paper presents fields where 3d models are being used and their potential new applications.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2016, 10, 2; 301-306
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Positioning of a moving vehicle in urban networks: method and platform
Autorzy:
Sobczak, M.
Powiązania:
https://bibliotekanauki.pl/articles/320932.pdf
Data publikacji:
2000
Wydawca:
Polskie Forum Nawigacyjne
Tematy:
komunikacja miejska
nawigacja
urban transport
navigation
Opis:
The paper presents a new algorithm of car positioning with reference to roads’ net and also the first results of a research concerning its efficiency.
Źródło:
Annual of Navigation; 2000, 2; 115-126
1640-8632
Pojawia się w:
Annual of Navigation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of spatiotemporal data to predict traffic conditions aiming at a smart navigation system for sustainable urban mobility
Autorzy:
Kyriakou, Kalliopi
Lakakis, Konstantinos
Savvaidis, Paraskevas
Basbas, Socrates
Powiązania:
https://bibliotekanauki.pl/articles/223718.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
spatio-temporal data
travel time prediction
smart navigation
urban mobility
Opis:
Urban traffic congestion created by unsustainable transport systems and considered as a crucial problem for the urbanised areas provoking air pollution, heavy economic losses due to the time and fuel wasted and social inequity. The mitigation of this problem can improve efficiency, connectivity, accessibility, safety and quality of life, which are crucial parameters of sustainable urban mobility. Encouraging sustainable urban mobility through smart solutions is essential to make the cities more liveable, sustainable and smarter. In this context, this research aims to use spatiotemporal data that taxi vehicles adequately provide, to develop an intelligent system able to predict traffic conditions and provide navigation based on these predictions. GPS (Global Positioning System) data from taxi are analysed for the case of Thessaloniki city. Trough data mining and map-matching process, the most appropriate data are selected for travel time calculations and predictions. Several algorithms are investigated to find the optimum for traffic states prediction for the specific case study concluding that ANN (Artificial Neural Networks) outperforms. Then, a new road network map is created by producing spatiotemporal models for every road segment under investigation through a linear regression implementation. Moreover, the possibility to predict vehicle emissions from travel times is investigated. Finally, an application with a graphical user interface is developed, that navigates the users with the criteria of the shortest path in terms of trip length, travel time shortest path and “eco” path. The outcome of this research is an essential tool for drivers to avoid congestion spots saving time and fuel, for stakeholders to reveal the problematic of the road network that needs amendments and for emergency vehicles to arrive at the emergency spot faster. Besides that, according to an indicator-based qualitative assessment of the proposed navigation system, it is concluded that it contributes significantly to environmental protection and economy enhancing sustainable urban mobility.
Źródło:
Archives of Transport; 2019, 52, 4; 27-46
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Pedestrian mobile mapping system for indoor environments based on MEMS IMU and range camera
Autorzy:
Haala, N.
Fritsch, D.
Peter, M.
Khosravani, A.
Powiązania:
https://bibliotekanauki.pl/articles/130618.pdf
Data publikacji:
2011
Wydawca:
Stowarzyszenie Geodetów Polskich
Tematy:
urban
reconstruction
IMU
navigation
building
modeling
architecture
nawigacja
rekonstrucja
budynek
modelowanie
architektura
Opis:
This paper describes an approach for the modeling of building interiors based on a mobile device, which integrates modules for pedestrian navigation and low-cost 3D data collection. Personal navigation is realized by a foot mounted low cost MEMS IMU, while 3D data capture for subsequent indoor modeling uses a low cost range camera, which was originally developed for gaming applications. Both steps, navigation and modeling, are supported by additional information as provided from the automatic interpretation of evacuation plans. Such emergency plans are compulsory for public buildings in a number of countries. They consist of an approximate floor plan, the current position and escape routes. Additionally, semantic information like stairs, elevators or the floor number is available. After the user has captured an image of such a floor plan, this information is made explicit again by an automatic raster-to-vector-conversion. The resulting coarse indoor model then provides constraints at stairs or building walls, which restrict the potential movement of the user. This information is then used to support pedestrian navigation by eliminating drift effects of the used low-cost sensor system. The approximate indoor building model additionally provides a priori information during subsequent indoor modeling. Within this process, the low cost range camera Kinect is used for the collection of multiple 3D point clouds, which are aligned by a suitable matching step and then further analyzed to refine the coarse building model.
Źródło:
Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2011, 22; 159-172
2083-2214
2391-9477
Pojawia się w:
Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Data Integration from GPS and Inertial Navigation Systems for Pedestrians in Urban Area
Autorzy:
Bikonis, K.
Demkowicz, J.
Powiązania:
https://bibliotekanauki.pl/articles/115987.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Inertial Measurement Unit (IMU)
Urban Area
inertial navigation system (INS)
Global Positioning System GPS
extended Kalman filter (EKF)
pedestrian trajectory
Micro Electro Mechanical Systems (MEMS)
Integration of Navigation
Opis:
The GPS system is widely used in navigation and the GPS receiver can offer long-term stable absolute positioning information. The overall system performance depends largely on the signal environments. The position obtained from GPS is often degraded due to obstruction and multipath effect caused by buildings, city infrastructure and vegetation, whereas, the current performance achieved by inertial navigation systems (INS) is still relatively poor due to the large inertial sensor errors. The complementary features of GPS and INS are the main reasons why integrated GPS/INS systems are becoming increasingly popular. GPS/INS systems offer a high data rate, high accuracy position and orientation that can work in all environments, particularly those where satellite availability is restricted. In the paper integration algorithm of GPS and INS systems data for pedestrians in urban area is presented. For data integration an Extended Kalman Filter (EKF) algorithm is proposed. Complementary characteristics of GPS and INS with EKF can overcome the problem of huge INS drifts, GPS outages, dense multipath effect and other individual problems associated with these sensors.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2013, 7, 3; 401-406
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An Effect of Urban Development on the Accuracy of the GPS/EGNOS System
Autorzy:
Bober, R.
Szewczuk, T.
Wolski, A.
Powiązania:
https://bibliotekanauki.pl/articles/116270.pdf
Data publikacji:
2008
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Global Navigation Satellite System (GNSS)
Global Positioning System GPS
EGNOS
Effect of Urban Development
Accuracy
Accuracy of Position
positioning system
Port of Szczecin
Opis:
This article presents the results of research into the accuracy of position determination by a GPS/EGNOS system in a densely built-up residential area. These results are compared with the relevant results obtained for a position in an open area.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2008, 2, 3; 235-238
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-6 z 6

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