scholarly journals INDOOR NAVIGATION ASSISTANCE SYSTEM USING BLUETOOTH

2016 ◽  
pp. 44-45
Author(s):  
APURVA MEHTA ◽  
D. D. PUKALE ◽  
RADHIKA BHAGAT ◽  
RUJAL SHAH
Keyword(s):  
Short Range ◽  
Low Cost ◽  
Indoor Navigation ◽  
Assistance System ◽  
Navigation Systems ◽  
Positioning Systems ◽  
Navigation Assistance ◽  
The Past ◽  
Current Location ◽  
Global Positioning

In the past few years, a number of ideas have been proposed for indoor navigation systems. These ideas were not as widely implemented as outdoor positioning systems like GPS(Global Positioning Systems). We propose an indoor navigation assistance system using Bluetooth which is low cost and feasible to use in daily life. Our system enables users with handheld mobile devices to steer with ease through the indoor premises using the short range radio frequencies of Bluetooth. It also establishes user’s current location and the various paths leading to the destination. Dijkstra’s algorithm is used to determine the shortest path from the source to the required destination.

INS/GNSS Integration with Account for Timing Skew and Displacement of GNSS Antenna. Experience of Practical Realization

2021 ◽  
Vol 29 (3) ◽  
pp. 52-68
Author(s):  
N.B. Vavilova ◽  
◽  
A.A. Golovan ◽  
A.V. Kozlov ◽  
I.A. Papusha ◽  
...  
Keyword(s):  
Spatial Separation ◽  
Measurement Unit ◽  
Complex Data ◽  
Navigation Systems ◽  
Inertial Navigation Systems ◽  
Positioning Systems ◽  
Global Positioning ◽  
Antenna Phase ◽  
Antenna Phase Center ◽  
Timing Skew

We examine two aspects specific to complex data fusion algorithms in integrated strapdown inertial navigation systems aided by global positioning systems, with their inherent spatial separation between the GNSS antenna phase center and the inertial measurement unit, as well as with the timing skew between their measurements. The first aspect refers to modifications of mathematical models used in INS/GNSS integration. The second one relates to our experience in their application in onboard airborne navigation algorithms developed by Moscow Institute of Electromechanics and Automatics.

scholarly journals Kinematic and Dynamic Vehicle Model-Assisted Global Positioning Method for Autonomous Vehicles with Low-Cost GPS/Camera/In-Vehicle Sensors

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5430 ◽  
Author(s):  
Haigen Min ◽  
Xia Wu ◽  
Chaoyi Cheng ◽  
Xiangmo Zhao
Keyword(s):  
Coordinate System ◽  
Autonomous Vehicles ◽  
Low Cost ◽  
Positioning System ◽  
Visual Slam ◽  
Multiple Model ◽  
Positioning Systems ◽  
Local Accuracy ◽  
Global Positioning ◽  
Vehicle Sensors

Real-time, precise and low-cost vehicular positioning systems associated with global continuous coordinates are needed for path planning and motion control in autonomous vehicles. However, existing positioning systems do not perform well in urban canyons, tunnels and indoor parking lots. To address this issue, this paper proposes a multi-sensor positioning system that combines a global positioning system (GPS), a camera and in-vehicle sensors assisted by kinematic and dynamic vehicle models. First, the system eliminates image blurring and removes false feature correspondences to ensure the local accuracy and stability of the visual simultaneous localisation and mapping (SLAM) algorithm. Next, the global GPS coordinates are transferred to a local coordinate system that is consistent with the visual SLAM process, and the GPS and visual SLAM tracks are calibrated with the improved weighted iterative closest point and least absolute deviation methods. Finally, an inverse coordinate system conversion is conducted to obtain the position in the global coordinate system. To improve the positioning accuracy, information from the in-vehicle sensors is fused with the interacting multiple-model extended Kalman filter based on kinematic and dynamic vehicle models. The developed algorithm was verified via intensive simulations and evaluated through experiments using KITTI benchmarks (A project of Karlsruhe Institute of Technology and Toyota Technological Institute at Chicago) and data captured using our autonomous vehicle platform. The results show that the proposed positioning system improves the accuracy and reliability of positioning in environments in which the Global Navigation Satellite System is not available. The developed system is suitable for the positioning and navigation of autonomous vehicles.

Smart Disaster Reduction Against Torrential Downpours: Micromedia Creation

2010 ◽  
Vol 5 (2) ◽  
pp. 187-193
Author(s):  
Haruo Hayashi ◽  
◽  
Keiko Tamura ◽  
Satoshi Kitada ◽  
Satomi Sudo ◽  
...  
Keyword(s):  
Information Dissemination ◽  
Current Practice ◽  
Technological Innovations ◽  
Navigation Systems ◽  
Disaster Prevention ◽  
Disaster Reduction ◽  
Positioning Systems ◽  
New Information ◽  
Global Positioning ◽  
Widespread Dissemination

In response to frequent flooding disasters due to local torrential downpours, the Japanese Meteorological Agency (JMA), along with other organizations, has advanced rapid tracking systems for torrential rains. It is also noted that people can now be easily located by the widespread dissemination of mobile phones and car navigation systems with easy-to-use global positioning systems (GPS). Unfortunately, the current practice of disseminating disaster information has failed to incorporate recent these technological innovations. In this paper, we propose a way to establish a new information dissemination media called “micromedia,” which provides individuals with disaster prevention information in real time, regardless of their location.

scholarly journals INDOOR NAVIGATION AND MAPPING: PERFORMANCE ANALYSIS OF UWB-BASED PLATFORM POSITIONING

2020 ◽  
Vol XLIII-B1-2020 ◽  
pp. 549-555
Author(s):  
A. Masiero ◽  
H. Perakis ◽  
J. Gabela ◽  
C. Toth ◽  
V. Gikas ◽  
...  
Keyword(s):  
Wide Band ◽  
Indoor Navigation ◽  
Operating Conditions ◽  
Navigation Systems ◽  
Positioning Systems ◽  
Localization And Mapping ◽  
Wide Range ◽  
Increasing Demand ◽  
Slam Algorithm ◽  
Tof Camera

Abstract. The increasing demand for reliable indoor navigation systems is leading the research community to investigate various approaches to obtain effective solutions usable with mobile devices. Among the recently proposed strategies, Ultra-Wide Band (UWB) positioning systems are worth to be mentioned because of their good performance in a wide range of operating conditions. However, such performance can be significantly degraded by large UWB range errors; mostly, due to non-line-of-sight (NLOS) measurements. This paper considers the integration of UWB with vision to support navigation and mapping applications. In particular, this work compares positioning results obtained with a simultaneous localization and mapping (SLAM) algorithm, exploiting a standard and a Time-of-Flight (ToF) camera, with those obtained with UWB, and then with the integration of UWB and vision. For the latter, a deep learning-based recognition approach was developed to detect UWB devices in camera frames. Such information is both introduced in the navigation algorithm and used to detect NLOS UWB measurements. The integration of this information allowed a 20% positioning error reduction in this case study.

scholarly journals "Improved Geometric Network Model" (IGNM): a novel approach for deriving Connectivity Graphs for Indoor Navigation

2014 ◽  
Vol II-4 ◽  
pp. 45-51 ◽  
Author(s):  
F. Mortari ◽  
S. Zlatanova ◽  
L. Liu ◽  
E. Clementini
Keyword(s):  
Route Planning ◽  
Research Area ◽  
Indoor Navigation ◽  
Navigation Systems ◽  
Indoor Space ◽  
The Past ◽  
Novel Approach ◽  
Outdoor Environments ◽  
Floor Plans ◽  
Algorithmic Strategy

Over the past few years Personal Navigation Systems have become an established tool for route planning, but they are mainly designed for outdoor environments. Indoor navigation is still a challenging research area for several reasons: positioning is not very accurate, users can freely move between the interior boundaries of buildings, path network construction process may not be easy and straightforward due to complexity of indoor space configurations. Therefore the creation of a good network is essential for deriving overall connectivity of a building and for representing position of objects within the environment. This paper reviews current approaches to automatic derivation of route graphs for indoor navigation and discusses some of their limitations. Then, it introduces a novel algorithmic strategy for extracting a 3D connectivity graph for indoor navigation based on 2D floor plans.

scholarly journals Challenges in geographical information science

2011 ◽  
Vol 467 (2133) ◽  
pp. 2431-2443 ◽  
Author(s):  
Michael F. Goodchild
Keyword(s):  
Information Technologies ◽  
Information Science ◽  
Social Issues ◽  
Geographical Information ◽  
Time Data ◽  
Positioning Systems ◽  
The Past ◽  
Global Positioning ◽  
Rapid Deployment ◽  
Scientific Questions

Geographical information science can be defined as that branch of information science that deals with the geographical domain, or as the set of fundamental scientific questions raised by geographical information and the technologies that collect, manipulate and communicate it. Geographical information can reveal interesting patterns that point in some cases to causal mechanisms. The use of Global Positioning Systems and online services has led to numerous rich sources of real-time data, and to the empowerment of the average citizen as a maker of maps, an empowerment that is especially valuable during emergencies when a dense network of citizens can potentially replace the services of scarce and expensive mapping experts. The concept of Digital Earth was defined more than a decade ago and has since been realized in several virtual-globe services that employ hierarchical data structures to support rapid pan and zoom. Research over the past two decades has led to the identification of a series of fundamental empirical principles that are broadly true of all geographical information, and that provide the basis for the design of geographical databases and analytical methods. Rapid deployment of geographical information technologies raises a series of social issues, including privacy, that are likely to become more threatening in the future. The paper ends with a summary of some of the core challenges and future of geographical information science.

scholarly journals Selected qualities of mobile maps for indoor navigation

2019 ◽  
Vol 51 (4) ◽  
pp. 155-165
Author(s):  
Dariusz Gotlib
Keyword(s):  
Navigation System ◽  
Data Model ◽  
Indoor Navigation ◽  
Navigation Systems ◽  
Stages Of Development ◽  
Positioning Systems ◽  
Presentation Method ◽  
Dynamic Growth ◽  
Definition Of ◽  
Mobile Maps

Abstract The map is the key element in any navigation system. The dynamic growth of indoor navigation systems requires improvements in quality not only of positioning systems but also of maps of building interiors. Most emergent solutions in this field do not use cartographic knowledge. Cartographic methodology for representing building interiors is still in its initial stages of development. Its proper use may, however, be of great importance to the effectiveness of indoor navigation. The author presents important features that indoor mobile maps should possess, for both the data model and the presentation method to be used. In this context, the question of the contemporary definition of a map is also discussed.

scholarly journals The design and development of software simulating interactive marine radar and electronic navigation instruments based on a PC platform

1999 ◽  
Author(s):  
◽  
Kieron Michael Tesling Cox
Keyword(s):  
South Africa ◽  
South African ◽  
International Standards ◽  
Navigation Systems ◽  
International Maritime Organisation ◽  
Positioning Systems ◽  
Direction Finder ◽  
Global Positioning ◽  
Marine Radar ◽  
Radar Simulator

This study was intended to develop suitable software to emulate Marine Radar and other Electronic Navigation Systems found on Merchant,vessels. This equipment includes Radar with or without Automatic Radar Plotting facilities, Navstar Global Positioning Systems, Echo Sounders, Radio Direction Finder as well as Decca Navigator. Certain of these aids are required in the Radar Simulator Specifications [ref 1] to which the SAMSA - South African Maritime Safety Authority (formerly the South African Department of Transport) adheres. SAMSA is the authority which approves Maritime training and Simulators in South Africa in compliance with International standards as laid down by, IMO - International Maritime Organisation.

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