본 연구에서는 UAV를 활용한 사진측량에서 지상 기준점 배치에 따른 정확도 분석을 수행하였다. 연구대상지역에 17개의 지상 기준점과 13개의 검사점을 설치하고 5가지 유형의 배치 형태를 만들었으며 검사점을 이용한 항공삼각측량의 성과분석과 산출물인 정사영상의 정량적, 정성적 분석 및 DSM을 이용한 공간분석을 수행하였다. 분석 결과 지상기준점 배치 시에는 삼각망 형태의 평면상의 배치형태도 중요하지만, 지형의 기복에 따른 지점의 높이 값을 고려하여 배치해야함을 확인하였다. 즉, 측량 대상 지역의 전체적인 평면상의 배치와 함께, 높이 값을 고려하여 지상기준점을 배치해야 더 높은 정확도를 확보할 수 있다.

In order to increase the production efficiency of the ship and shorten the production cycle, it is important to evaluate the accuracy of the ship components efficiently during the drying cycle. The accuracy control of the block is important for shortening the ship process, reducing the cost, and improving the accuracy of the ship. Some systems have been developed and used mainly in large shipyards, but in some cases, they are measured and managed using conventional measuring instruments such as tape measure and beam, optical instruments as optical equipment, In order to perform accuracy control, these tools and equipment as well as equipment for recording measurement data and paper drawings for measuring the measurement position are inevitably combined. The measured results are managed by the accuracy control system through manual input or recording device. In this case, the measurement result is influenced by the work environment and the skill level of the worker. Also, in the measurement result management side, there are a human error about the lack of the measurement result creation, the lack of the management sheet management, And costs are lost in terms of efficiency due to consumption. The purpose of this study is to improve the working environment in the existing accuracy management process by using the augmented reality technology to visualize the measurement information on the actual block and to obtain the measurement information And a smart management system based on augmented reality that can effectively manage the accuracy management data through interworking with measurement equipment. We confirmed the applicability of the proposed system to the accuracy control through the prototype implementation.

Recently, automatic parking assist systems are commercially available in some cars. In order to improve the reliability and the accuracy of parking control, pose uncertainty of a vehicle and some experimental issues should be solved. In this paper, following three schemes are proposed. (1) Odometry calibration scheme for the Car-Like Mobile Robot.(CLMR) (2) Accurate localization using Extended Kalman Filter(EKF) based redundant odometry fusion. (3) Trajectory tracking controller to compensate the tracking error of the CLMR. The proposed schemes are experimentally verified using a miniature Car-Like Mobile Robot. This paper shows that odometry accuracy and trajectory tracking performance can be dramatically improved by using the proposed schemes.