• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.5
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• pp.1194-1200
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• 2014

One of problems in car navigation systems is that a number of inputs are required for a directions search. This may even causes a car accident due to poor concentration while driving. In order to solve the issue we design and implement a safe and easy-to-use car navigation system which allows a driver to look up directions with just a single tap. Our smartphone app creates an NFC tag by deriving location information from a text, voice, GPS, and so on. The driver can then get the directions by just tapping a phone or card with the Tag on the navigation system. We show the feasibility and effectiveness of our system by comparing our implementation with the existing car navigation systems.

• Journal of Positioning, Navigation, and Timing
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• v.1 no.1
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• pp.7-14
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• 2012

Due to inaccurate safe navigation estimates, maritime accidents have been occurring consistently. In order to solve this, the precise positioning technology using carrier phase information is used, but due to high buildings near inland waterways or inclination, satellite signals might become weak or blocked for some time. Under this weak signal environment for some time, the GPS raw measurements become less accurate so that it is difficult to search and maintain the integer ambiguity of carrier phase. In this paper, a method to generate code and carrier phase measurements under this environment and maintain resilient navigation is proposed. In the weak signal environment, the position of the receiver is estimated using an inertial sensor, and with this information, the distance between the satellite and the receiver is calculated to generate code measurements using IGS product and model. And, the carrier phase measurements are generated based on the statistics for generating fractional phase. In order to verify the performance of the proposed method, the proposed method was compared for a fixed blocked time. It was confirmed that in case of a weak or blocked satellite signals for 1 to 5 minutes, the proposed method showed more improved results than the inertial navigation only, maintaining stable positioning accuracy within 1 m.

• Proceedings of the Korean Geotechical Society Conference
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• 2010.09a
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• pp.1274-1281
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• 2010

Cut Slope Management System(CSMS) is a systematic maintenance and management system designed to prevent the collapse of cut slopes located along national roads and to minimize damages caused by slope collapse related accidents. In order to implement a maintenance and management system that will ensure safe road operation, the Korean government has started the inventory of cut slopes and developed a cut slope database since 2006. The study on the application of cut slope database is on-going and part of this study is the development of cut slope database management system (Slope-navi) using GIS technology and navigation system for the effective and efficient cut slope management using Information Technology. Using the Navigation Cut Slope Data Management System the previously developed database was checked and verified. The converted cut slope inventory data and field investigation reports of about 20,000 cut slopes were loaded in the navigation map. Through the development of the navigation's cut slope data search system, a systematic and efficient cut slope database management and operation in the prevention of slope collapse and remedial measure selection was established.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.1
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• pp.148-156
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• 2011

This paper presents an implementation of autonomous navigation of a mobile robot indoors. It explains methods for map building, localization, obstacle avoidance and path planning. Geometric map is used for localization and path planning. The localization method calculates sensor data based on the map for comparison with the real sensor data. Monte Carlo Localization(MCL) method is adopted for estimation of the robot position. For obstacle avoidance, an artificial potential field generates repulsive and attractive force to the robot. Dijkstra algorithm plans the shortest distance path from a start position to a goal point. The methods integrate into autonomous navigation method and implemented for indoor navigation. The experiments show that the proposed method works well for safe autonomous navigation.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.10a
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• pp.247-248
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• 2014

The International Maritime Organization (IMO) has recognized that systemic consideration and research associated with human elements for the safe navigation of ships were required. The usability of navigational equipments based on user demands becomes a significant issue on the e-navigation field. Although many assessment and evaluation methods of usability has introduced in various fields, there is room for improvement. To this end, the primary objective of this paper is to propose a new checklist to the usability assessment of the AR-based navigation information system.

• Journal of Advanced Navigation Technology
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• v.18 no.2
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• pp.128-133
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• 2014

This paper is the study of BNWAS based on TLC. The functionality of BNWAS and its operations are investigated through its international standard. But the BNWAS to be used currently in the ship have difficulty in monitoring. Several kinds of data are generated from many equipments in BNWAS, such as NMEA-0183 data or NMEA-2000. Although these data are mainly used for the safe navigation of ship, their usability may be enhanced if they are managed to control the BNWAS equipment with sensors. The purpose of this system is prevent the marine accidents on sailing voyages due to drowsiness of watchers. On Night sailing, watcher is collected the navigation information from multiple devices and he determines the safe operation of the ship through continuous monitoring.

• Journal of Positioning, Navigation, and Timing
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• v.4 no.1
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• pp.1-7
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• 2015

In the case of an unmanned aerial vehicle (UAV) equipped with a GNSS sensor, a boundary line where the vehicle can actually exist can be calculated using a navigation error model, and safe navigation (e.g., precise landing and collision prevention) can be supported based on this boundary line. Therefore, for the safe operation of UAV, a model for the position error of UAV needs to be established in advance. In this study, the multipath error of a GNSS sensor installed at UAV was modeled through a flight test, and this was analyzed and compared with the error model of an existing manned aircraft. The flight test was conducted based on a scenario in which UAV performs hovering at an altitude of 40 m, and it was found that the multipath error value was well bound by the error model of an existing manned aircraft. This result indicates that the error model of an existing manned aircraft can be used in operation environments similar to the scenario for the flight test. Also, in this study, a scenario for the operation of multiple UAVs was considered, and the correlation between the multipath errors of the UAVs was analyzed. The result of the analysis showed that the correlation between the multipath errors of the UAVs was not large, indicating that the multipath errors of the UAVs cannot be canceled out.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.4
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• pp.456-462
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• 2014

In this paper, we present a deployable bio-inspired robot called the Pillbot-light, which utilizes a safe autonomous navigation system. The Pillbot-light is mounted the station robot, and can be operated in a disaster relief operation or military operation. However, the Pilbot-light has a challenge to navigate autonomously because the Pilbot-light cannot be equipped with various sensors. As a result, we propose a new robot system for autonomous navigation that the station robot controls Pillbot-light equipped with vision camera and CPU of high performance. This system detects obstacles based on the edge extraction using vision camera. Also, it cannot only achieve path planning using the hazard cost function, but also localization using the Particle Filter. And this system is verified by simulation and experiment.

• Journal of Advanced Navigation Technology
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• v.21 no.5
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• pp.485-490
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• 2017

In this paper, we propose a technique for high speed removal of sea-fog using a graphic processor. This technique uses a host processor(CPU) and several graphics processors(GPU) capable of parallel processing to remove sea-fog from the input image. In the process of removing sea-fog, the dark channel extraction, the maximum brightness channel extraction, and the calculation of the transmission are performed by the host processor, and the process of refining the transmission by applying the bidirectional filter is performed in parallel through the graphic processor. To verify the proposed parallel processing method, three NVIDIA GTX 1070 GPUs were used to construct the verification environment. As a result, it takes about 140ms when implemented with one graphics processor, and 26ms when implemented using OpenMP and multiple GPGPUs. The proposed a parallel processing algorithm based on the graphics processor unit can be used for safe navigation, port control and monitoring system.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.10a
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• pp.347-348
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• 2014

In this paper, we describe the methods for quantitative evaluation of placement of aids to navigations (AtoN). AtoN is the additive devices for navigation that inform navigators using human vision and guide navigators to safe watercourse. Therefore the effectiveness of placement of AtoN can be quantified according to the grade of visibile recognition to navigators. In order words, the placement of AtoN can be quantified in the sense of visibility. In this study, we describe the methods for quantifying the visibility about the placement of AtoN. Using AtoN simulator which has been developed by Korea Research Institute of Ships and Ocean Engineering (KRISO), the quantitative method is investigated for the pre-installed placement of AtoNs.