• Title/Summary/Keyword: velocity information GPS

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Estimation of channel morphology using RGB orthomosaic images from drone - focusing on the Naesung stream - (드론 RGB 정사영상 기반 하도 지형 공간 추정 방법 - 내성천 중심으로 -)

  • Woo-Chul, KANG;Kyng-Su, LEE;Eun-Kyung, JANG
    • Journal of the Korean Association of Geographic Information Studies
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    • v.25 no.4
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    • pp.136-150
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    • 2022
  • In this study, a comparative review was conducted on how to use RGB images to obtain river topographic information, which is one of the most essential data for eco-friendly river management and flood level analysis. In terms of the topographic information of river zone, to obtain the topographic information of flow section is one of the difficult topic, therefore, this study focused on estimating the river topographic information of flow section through RGB images. For this study, the river topography surveying was directly conducted using ADCP and RTK-GPS, and at the same time, and orthomosiac image were created using high-resolution images obtained by drone photography. And then, the existing developed regression equations were applied to the result of channel topography surveying by ADCP and the band values of the RGB images, and the channel bathymetry in the study area was estimated using the regression equation that showed the best predictability. In addition, CCHE2D flow modeling was simulated to perform comparative verification of the topographical informations. The modeling result with the image-based topographical information provided better water depth and current velocity simulation results, when it compared to the directly measured topographical information for which measurement of the sub-section was not performed. It is concluded that river topographic information could be obtained from RGB images, and if additional research was conducted, it could be used as a method of obtaining efficient river topographic information for river management.

Lane Change Driving Analysis based on Road Driving Data (실도로 주행 데이터 기반 차선변경 주행 특성 분석)

  • Park, Jongcherl;Chae, Heungseok;Yi, Kyongsu
    • Journal of Auto-vehicle Safety Association
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    • v.10 no.1
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    • pp.38-44
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    • 2018
  • This paper presents an analysis on driving safety in lane change situation based on road driving data. Autonomous driving is a global trend in vehicle industry. LKAS technologies are already applied in commercial vehicle and researches about lane change maneuver have been actively studied. In autonomous vehicle, not only safety control issue but also imitating human driving maneuver is important. Driving data analysis in lane change situation has been usually dealt with ego vehicle information such as longitudinal acceleration, yaw rate, and steering angle. For this reason, developing safety index according to surrounding vehicle information based on human driving data is needed. In this research, driving data is collected from perception module using LIDAR, radar and RT-GPS sensors. By analyzing human driving pattern in lane change maneuver, safety index that considers both ego vehicle and surrounding vehicle state by using relative velocity and longitudinal clearance has been designed.

Parameter Calibration of Car Following Models Using DGPS DATA (DGPS 수신장치를 활용한 차량추종 모형 파라미터 정산)

  • Kim, Eun-Yeong;Lee, Cheong-Won;Kim, Yong-Jin
    • Journal of Korean Society of Transportation
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    • v.24 no.3 s.89
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    • pp.17-27
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    • 2006
  • Car following model is a theory that examines changes of condition and interrelationship of acceleration deceleration. headway, velocity and so on closely based on the hypothesis that the Posterior vehicle always follows the preceding vehicle. Car following mode) which is one of the research fields of microscopic traffic flow was first introduced in 1950s and was in active progress in 1960s. However, due to the limitation of data gathering the research depression was prominent for quite a while and then soon was able to tune back on track with development in global positioning system using satellite and generalization of computer use. Recently, there has been many research studies using reception materials of global Positioning system(GPS). Introducing GPS technology to traffic has made real time tracking of a vehicle position possible. Position information is sequential in terms of time and simultaneous measurement of several vehicles in continuous driving is also practicable. Above research was focused on judging whether it is feasible to overcome the following model research by adopting the GPS reception device that was restrictively proceeded due to the limitation of data gathering. For practical judgment, we measured the accuracy and confidence level of the GPS reception devices material by carrying out a practical experiment. Car following model is also being applied in simulations of traffic flow analysis, but due to the difficulty of estimating parameters the basis of the above result. it is our goal to produce an accurate calibration of car following model's parameters that is suitable in this domestic actuality.

On Indexing Method for Current Positions of Moving Objects (이동 객체의 현재 위치 색인 기법)

  • Park, Hyun-Kyoo;Kang, Sung-Tak;Kim, Myoung-Ho;Min, Kyoung-Wook
    • Journal of Korea Spatial Information System Society
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    • v.5 no.1 s.9
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    • pp.65-74
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    • 2003
  • Location-based service is an important spatiotemporal database application area that provides the location-aware information of wireless terminals via positioning devices such as GPS. With the rapid advances of wireless communication systems, the requirement of mobile application areas including traffic, mobile commerce and supply chaining management became the center of attention for various research issues in spatiotemporal databases. In this paper we present the A-Quadtree, an efficient indexing method for answering location-based queries where the movement vector information (e.g., speed and velocity) is not presented. We implement the A-Quadtree with an index structure for object identifiers as a.Net component to apply the component to multiplatforms. We present our approach and describe the performance evaluation through various experiments. In our experiments, we compare the performance with previous approaches and show the enhanced efficiency of our method.

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A Study on the Navigation Data Transmission-Management System of a Small Vessel (소형선박의 항행정보 전송관리시스템에 대한 연구)

  • 조학현;최조천;최병하;김기문
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.4 no.1
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    • pp.191-200
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    • 2000
  • The marine accident is being highlighted as a serious worldwide problem for the guard station of human safety and the protection of marine environment pollution. Especially, the GMDSS is operated as a international rule for the safety of a large scale ship, but the small size ship's management is required a adaptive national rule because of the complex condition of national circumstance. This study is motivated to develop a ship's position tracking system combined with GPS information for VTS and control the ship navigation, velocity and longitude etc.. In Part of Navigation Data Transmission is GPS data transmission whih ship's ID using microprocessor and TX speed translation for flexibility with 4800∼2400 [bps]. Results show that the our system for data transmission using microprocessor is useful tool in maritime transmission as SSB used the main TX method of small ship and has a cost competitive power. Therefore, we will expected cost and technical competitive power compared to AIS. But those systems are still remained the unsolved problem for protection from marine accident.. Finally, we examined the semi-actual receiving state on simulated sailing in the around sea of Mok-Po harbor.

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Study on Reliability of New Digital Tachograph for Traffic Accident Investigation and Reconstruction (교통사고 조사 및 재현에서 신형 전자식운행기록계의 신뢰성에 관한 연구)

  • Park, Jongjin;Joh, Geonwoo;Park, Jongchan
    • Transactions of the Korean Society of Automotive Engineers
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    • v.23 no.6
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    • pp.615-622
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    • 2015
  • Recently Digital-TachoGraph(DTG) was mounted mandatorily in commercial vehicles(Taxi, Bus, etc.). DTG records accurate and detailed information of the running state of vehicles related to traffic accident, such as Time, Distance, Velocity, RPM, Brake ON/OFF, GPS, Azimuth, Acceleration. Thus those standardized data can play an important role in traffic accident investigation and reconstruction. To develope the accurate and objective method using the DTG data for the reconstruction of traffic accident, we had conducted several tests such as driving test, high speed circuit test, braking test, slalom test at Korea Automobile Testing & Research Institute(KATRI), and collision test at Korea Automobile insurance repair Research and Training center(KART) with the vehicle equipped with several DTG. Development of the program which enables the reading and analysis of the DTG data was followed. In the experiments, we have found velocity error, RPM error, brake signal error and azimuth error in several products, and also non-continuous event data. The cause of these errors was deduced to be related to the correction factor, the durability of electronic parts and the algorithm.

Design of Tightly Coupled INS/DVL/RPM Integrated Navigation System (강결합 방식의 INS/DVL/RPM 복합항법시스템 설계)

  • Yoo, Tae-Suk;Kim, Moon-Hwan;Yoon, Seon-Il;Kim, Dae-Joong
    • Journal of Ocean Engineering and Technology
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    • v.33 no.5
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    • pp.470-478
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    • 2019
  • Because the global positioning system (GPS) is not available in underwater environments, an inertial navigation system (INS)/doppler velocity log (DVL) integrated navigation system is generally implemented. In general, an INS/DVL integrated system adopts a loosely coupled method. However, in this loosely coupled method, although the measurement equation for the filter design is simple, the velocity of the body frame cannot be accurately measured if even one of the DVL transducer signals is not received. In contrast, even if only one or two velocities are measured by the DVL transducers, the tightly coupled method can utilize them as measurements and suppress the error increase of the INS. In this paper, a filter was designed to regenerate the measurements of failed transducers by taking advantage of the tightly coupled method. The regenerated measurements were the normal DVL transducer measurements and the estimated velocity in RPM. In order to effectively estimate the velocity in RPM, a filter was designed considering the effects of the tide. The proposed filter does not switch all of the measurements to RPM if the DVL transducer fails, but only switches information from the failed transducer. In this case, the filter has the advantage of being able to be used as a measurement while continuously estimating the RPM error state. A Monte Carlo simulation was used to determine the performance of the proposed filters, and the scope of the analysis was shown by the standard deviation ($1{\sigma}$, 68%). Finally, the performance of the proposed filter was verified by comparison with the conventional tightly coupled method.

A real-time multiple vehicle tracking method for traffic congestion identification

  • Zhang, Xiaoyu;Hu, Shiqiang;Zhang, Huanlong;Hu, Xing
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.6
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    • pp.2483-2503
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    • 2016
  • Traffic congestion is a severe problem in many modern cities around the world. Real-time and accurate traffic congestion identification can provide the advanced traffic management systems with a reliable basis to take measurements. The most used data sources for traffic congestion are loop detector, GPS data, and video surveillance. Video based traffic monitoring systems have gained much attention due to their enormous advantages, such as low cost, flexibility to redesign the system and providing a rich information source for human understanding. In general, most existing video based systems for monitoring road traffic rely on stationary cameras and multiple vehicle tracking method. However, most commonly used multiple vehicle tracking methods are lack of effective track initiation schemes. Based on the motion of the vehicle usually obeys constant velocity model, a novel vehicle recognition method is proposed. The state of recognized vehicle is sent to the GM-PHD filter as birth target. In this way, we relieve the insensitive of GM-PHD filter for new entering vehicle. Combining with the advanced vehicle detection and data association techniques, this multiple vehicle tracking method is used to identify traffic congestion. It can be implemented in real-time with high accuracy and robustness. The advantages of our proposed method are validated on four real traffic data.

Development of Attitude Constraints for Real-time Attitude Determination System using GPS carrier phase

  • Jang, Jae-Gyu;Kee, Chang-Don
    • International Journal of Aeronautical and Space Sciences
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    • v.6 no.2
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    • pp.17-22
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    • 2005
  • As one of validation tool for attitude determination system, we have used various constraints using priori information which is known through base vector set up. However these conventional constraints cannot guarantee validity in terms of final solutions such as Euler angle. So we suggest attitude boundary concept to verify the final attitude solution on the flying airplane, it is based on the combination of velocity based attitude estimation technique and ambiguity resolution. we can say it can check invalid solution effectively at just one epoch without repeatability test of resolved cycle ambiguity. In this paper we show that the suggested constraint can effectively reject incorrectly resolved cycle ambiguity the conventional constraints have missed.

DGPs System (DGPS 위성항법보정 SYSTEM)

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    • Journal of the Korean Professional Engineers Association
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    • v.37 no.2
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    • pp.47-53
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    • 2004
  • Space-based radio-positioning and time transfer system, Provide accurate position, velocity, and time(PVT) information \longleftarrowunlimited number of suitably equipped ground, sea, air and space users, by the U.S Department of Defense(DoD), Comprises major system segments\longrightarrowSpace, Control and User

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