• Journal of the Institute of Electronics and Information Engineers
• /
• v.52 no.5
• /
• pp.190-196
• /
• 2015

In this paper, we propose multiple location error compensation algorithm for GPS/INS fusion using kalman filter and introduce the way to reduce location error in 9-axis navigation devices for implementing inertial navigation technique. When evaluating location, there is an increase of location error. So navigation systems need robust algorithms to compensate location error in GPS/INS fusion. In order to improve robustness of 9-axis inertial sensor(mpu-9150) over its disturbance, we used tilt compensation method using compensation algorithm of acceleration sensor and Yaw angle compensation to have exact azimuth information of the object. And it shows improved location result using these methods combined with kalman filter.

• Journal of the Korean Society for Precision Engineering
• /
• v.25 no.10
• /
• pp.58-66
• /
• 2008

In the development of intelligent vehicles, path tracking of unmanned vehicle is a basis of autonomous driving and automatic navigation. It is very important to find the exact position of a vehicle for the path tracking, and it is possible to get the position information from GPS. However the information of GPS is not the current position but the past position because a vehicle is moving and GPS has a time delay. In this paper, therefore, the moving distance of a vehicle is estimated using a direction sensor and a velocity sensor to compensate the position error of GPS. In the steering control, optimal fuzzy rules for the path tracking can be found through the simulation of Simulink. Real driving experiments show the fuzzy rules are good for the steering control and the position error of GPS is well compensated by the proposed estimation method.

• International journal of advanced smart convergence
• /
• v.5 no.3
• /
• pp.16-26
• /
• 2016

This proposed project is about a bicycle anti theft devised system which helps people protect the bicycle from theft and helps to track the stolen bicycle's location using a smart phone. Safety bike uses two main devices to keep the bicycle secured, the vibration sensor and GPS sensor. The purpose of this project is to put all these small devices into one well connected system which will help the bicycle owner have more control over the security of his own bicycle. The whole system can be divided into two main parts. The first part is about the hardware development whereby all electronics components are connected via the circuit design using wire wrapping technique. This hardware part includes, a vibrations sensor, a GPS receiver, a toggle switch, LED light, Bluetooth and a buzzer. Wireless Bluetooth signals are used as the means of communication between the smartphone and the microcontroller. The second part is the software part which is being to program and control the whole system. The program is written using MikroBasic, a full-featured Basic compiler for microcontroller based systems. In conclusion, this system is designed to enable user to have control in securing his/her bicycle also being able to find and locate it at any time using GPS receiver and mobile android application.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2021.07a
• /
• pp.205-206
• /
• 2021

본 논문에서는 스마트 폰의 GPS 센서와 Google Map, 공공데이터를 활용해 사용자 주변의 최저가 업소를 맵에 표기하는 애플리케이션을 개발한다. 이 애플리케이션은 휴대폰 인증을 통한 회원가입 기능을 구현하였으며 안드로이드 GPS 센서를 이용하여 현재 사용자의 위치 주변의 최저가 업소들을 표기한다. 또한 사용자가 검색하고자 하는 업소의 업종을 선택하면 맵에 선택한 업종과 같은 업소들의 위치에 마커를 표시하고 마커를 클릭 시 업소명, 대표메뉴, 가격 등의 정보를 볼 수 있다.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2021.07a
• /
• pp.209-210
• /
• 2021

본 논문에서는 스마트 폰의 GPS 센서와 Google Map 기반의 러닝 운동을 효율적으로 할 수 있는 애플리케이션을 개발한다. 이 애플리케이션은 안드로이드의 GPS 센서를 이용하여 사용자의 위치, 달리는 속도(Km/h), 이동 거리(Km)를 기록하고 페이스 계산을 통해 사용자의 운동 목표량에 도달하도록 도와준다. 그리고 Google Map을 사용하여 사용자의 러닝 경로를 시각화하여 지도에 표시한다. 또한 이전의 운동 기록을 저장하여 효과적인 러닝 플랜을 세울 수 있도록 한다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.30 no.2
• /
• pp.181-188
• /
• 2012

The most recent, Digital photogrammetric camera, Airborne LiDAR and GPS/INS same sensors are used to acquire spatial information of various kinds in the field of aerial survey. In addition, Direct Georeferencing technology has been widely utilized with digital photogrammetric camera and GPS/INS. However, the sensor Calibration to be performed according to the combination of various sensors is followed by problems. Most of all, boresight calibration of integrated sensors is a critical element in the mapping process when using direct georeferencing or using the GPS/INS aerotriangulation. The establishment of a national test-bed in Sejong-si for aerial sensor calibration is absolutely necessary to solve this problem. And accurate calibration with used to integration of GPS/INS by aerotriangulation of aerial imagery was necessary for determination of system parameters, evaluation of systematic errors. Also, an investigation of efficient method for Direct georeferencing to determine the exterior orientation parameters and assessment of geometric accuracy of integrated sensors are performed.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 1995.04a
• /
• pp.117-133
• /
• 1995

• Journal of the Korea Society of Computer and Information
• /
• v.28 no.1
• /
• pp.49-54
• /
• 2023

The Global Positioning System (GPS) was developed for military purposes and developed as it is today by opening civilian signals (GPS L1 frequency C/A signals). The current satellite orbits the earth about twice a day to measure the position, and receives more than 3 satellite signals (initially, 4 to calculate even the time error). The three-dimensional position of the ground receiver is determined using the data from the radio wave departure time to the radio wave Time of Arrival(TOA) of the received satellite signal through trilateration. In the case of navigation using GPS in recent years, a location error of 5 to 10 m usually occurs, and quite a lot of areas, such as apartments, indoors, tunnels, factory areas, and mountainous areas, exist as blind spots or neutralized areas outside the error range of GPS. Therefore, in order to acquire one's own location information in an area where GPS satellite signal reception is impossible, another method should be proposed. In this study, IMU(Inertial Measurement Unit) combined with an acceleration and gyro sensor and a geomagnetic sensor were used to design a system to enable location recognition even in terrain where GPS signal reception is impossible. A method to track the current position by calculating the instantaneous velocity value using a 9-DOF IMU and a geomagnetic sensor was studied, and its feasibility was verified through production and experimentation.

• 제어로봇시스템학회:학술대회논문집
• /
• 2001.10a
• /
• pp.23.5-23
• /
• 2001

This paper is concerned with the vehicle platooning in the AHS (Automated Highway Systems). For this, a relative navigation system is developed for the vehicles operating as a platoon. The relative navigation system is based on two sensors including GPS and MMWR (Millimeter-Wave Radar) and the federated Kalman Iter processing measurements of them. The architecture of this system requires GPS measurements of a preceding vehicle via communication link. Even if GPS measurements are available, they contain errors which are unacceptably high in vehicle platooning. Therefore, GPS carrier phase is considered. Integer ambiguities of GPS carrier phase measurements are determined by using MMWR ...

• The Journal of the Korea institute of electronic communication sciences
• /
• v.18 no.5
• /
• pp.747-754
• /
• 2023

Energy-efficient routing protocol is an important task in a wireless sensor network that is used for monitoring and control by wirelessly collecting information obtained from sensor nodes deployed in various environments. Various routing techniques have been studied for this, but it is also necessary to consider WSN environments with specific situations and conditions. In particular, due to topographical characteristics or specific obstacles, a hole where sensor nodes are not deployed may exist in most WSN environments, which may result in inefficient routing or routing failures. In this case, the geographical routing-based hall bypass routing method using GPS functions will form the most efficient path, but sensors with GPS functions have the disadvantage of being expensive and consuming energy. Therefore, we would like to find the boundary node of the hole in a WSN environment with holes through minimal sensor function and propose hole bypass routing through boundary line formation.