http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
차로 구분이 가능한 정밀전자지도의 성능 요구사항에 관한 연구
강우용(Wooyong Kang),이은성(Eunsung Lee),이건우(Geonwoo Lee),박재익(Jae-Ik Park),최광식(Kwangsik Choi),허문범(Moonbeom Heo) 제어로봇시스템학회 2011 제어·로봇·시스템학회 논문지 Vol.17 No.1
To enable the efficient operation of ITS, it is necessary to collect location data for vehicles on the road. In the case of futuristic transportation systems like ubiquitous transportation and smart highway, a method of data collection that is advanced enough to incorporate road lane recognition is required. To meet this requirement, technology based on radio frequency identification (RFID) has been researched. However, RFID may fail to yield accurate location information during high-speed driving because of the time required for communication between the tag and the reader. Moreover, installing tags across all roads necessarily incurs an enormous cost. One cost-saving alternative currently being researched is to utilize GNSS (global navigation satellite system) carrierbased location information where available. For lane recognition using GNSS, a precise digital map for determining vehicle position by lane is needed in addition to the carrier-based GNSS location data. A “precise digital map” is a map containing the location information of each road lane to enable lane recognition. At present, precise digital maps are being created for lane recognition experiments by measuring the lanes in the test area. However, such work is being carried out through comparison with vehicle driving information, without definitions being established for detailed performance specifications. Therefore, this study analyzes the performance requirements of a precise digital map capable of lane recognition based on the accuracy of GNSS location information and the accuracy of the precise digital map. To analyze the performance of the precise digital map, simulations are carried out. The results show that to have high performance of this system, we need under 0.5m accuracy of the precise digital map.
강우용(Wooyong Kang),채종원(Jongwon Chae),박영웅(Youngwoong Park) 한국항공우주학회 2016 韓國航空宇宙學會誌 Vol.44 No.2
정지궤도복합위성은 추력기 분사를 이용하여 자세제어, 궤도 유지, 휠 오프로딩 등을 수행한다. 장착된 추력기 중 1, 2, 3번 추력기는 태양전지판과 같은 축에 장착된다. 이로 인하여 추력기 1, 2, 3번은 플룸 외란의 영향이 크게 발생한다. 그러므로 위성 설계 단계에서부터 플룸 외란의 영향을 분석해야 한다. 본 논문에서는 정지궤도복합위성의 초기 형상을 이용하여 추력기에서 발생하는 플룸 외란을 계산하는 과정을 기술하고 추력기 조정각에 따른 플룸 외란의 영향을 분석하였다. The attitude control, station keeping and wheel off-loading at GEO-KOMPSAT-2 are realized by thrusters firings. Thrusters 1, 2 and 3 are mounted on the same axis as the solar array, which generates the plume disturbance largely. Therefore the effect of plume disturbance should be analyzed from satellite design phase. In this paper, we described the calculation method of plume disturbance and analyzed the plume disturbance of thruster 1,2 and 3 using GEO-KOMPSAT-2 initial configuration.
강우용(Wooyong Kang),이은성(Eunsung Lee Hong),허문범(Moonbeom Heo),남기욱(Giwook Nam) 한국자동차공학회 2008 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
The satellite navigation system which is represented with GPS, it uses the satellite of space and to provide a accurate user position and time information. It is applied various application field, specially the vehicle navigation application widely used. But, precise driving is impossible due to the error of GPS. So, a new method introduced to determine user position of precise car navigation using GPS carrier phase measurements. In this paper the presented equation is explained and the results of car experiment are shown.
강우용(Wooyong Kang),이은성(Eunsung Lee),박재익(Jae-Ik Park),한지애(Ji-Ae Han),김현수(Hyunsoo Kim),허문범(Moonbeom Heo) 한국자동차공학회 2011 한국자동차공학회 부문종합 학술대회 Vol.2011 No.5
The Global Navigation Satellite System(GNSS) is being utilized in numerous applications. The research for lane recognition using precise positioning of GNSS is in progress. It is based on the use of carrier phase measurements of the GPS signals. And it is more economical not to install additional facilities on the road. However, obstacles like buildings and trees along the roadside can block signals and have effects on satellite visibility of GNSS. The blocking of some satellite signals to the GPS antenna increase the GNSS position error. It causes a lane recognition failure. As a result, there is a need for the integration of a GNSS and vehicle steering model to improve the lane recognition performance. This paper focus on lane recognition performance test using vehicle steering model. To analyze the performance of the proposed method, simulations are carried out. The results show that lane performance using vehicle steering model is improved than using GNSS position only.