Mr. Seongjoon Kim Profile

Seongjoon Kim

at Univ of Seoul

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Publications (3)

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Proceedings Article | 27 October 2011 Paper

Comprehensive high-speed simulation software for ladar systems

Seongjoon Kim, Seran Hwang, Minsoo Son, Impyeong Lee

Proceedings Volume 8181, 81811S (2011) https://doi.org/10.1117/12.898401

KEYWORDS: LIDAR, 3D modeling, Data modeling, Software development, Sensors, Visualization, Clouds, Computer simulations, Systems modeling, 3D acquisition

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Simulation of LADAR systems is particularly important for the verification of the system design through the performance assessment. Although many researchers attempted to develop various kinds of LADAR simulators, most of them have some limitations in being practically used for the general design of diverse types of LADAR system. We thus attempt to develop high-speed simulation software that is applicable to different types of LADAR system. In summary, we analyzed the previous studies related to LADAR simulation and, based on those existing works, performed the sensor modeling in various aspects. For the high-speed operation, we incorporate time-efficient incremental coherent ray-tracing algorithms, 3D spatial database systems for efficient spatial query, and CUDA based parallel computing. The simulator is mainly composed of three modules: geometry, radiometry, and visualization modules. Regarding the experimental results, our simulation software could successfully generate the simulated data based on the pre-defined system parameters. The validation of simulation results is performed by the comparison with the real LADAR data, and the intermediate results are promising. We believe that the developed simulator can be widely useful for various fields.

Proceedings Article | 21 May 2011 Paper

Efficient geometric computation for ladar simulation

Seran Hwang, Seongjoon Kim, Impyeong Lee

Proceedings Volume 8060, 80600P (2011) https://doi.org/10.1117/12.883901

KEYWORDS: LIDAR, Computer simulations, Sensors, Optical simulations, 3D modeling, Data modeling, Parallel processing, Detection and tracking algorithms, Algorithm development, Imaging systems

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LADAR (Laser Detection and Ranging) is widely used for reconnaissance or target detection by being mounted on various moving vehicles in the defense field. During the design and development process of a LADAR system, system simulation is typically performed to assess its performance and to provide test data for the real applications. In order to generate simulated LADAR data with a high degree of reliability and accuracy, it is required to derive the precise geometric model of the sensors and to calculate the locations where the rays (laser pulses) reflected using the geometric model. As ten thousands of laser beams are transmitted to the targets every second during the real operation, a LADAR simulator should perform a tremendous amount of geometric computations to determine the intersections between the rays and the targets. In this study, we present an attempt to develop an efficient method for such geometric computation for LADAR simulation. In the computational process, we first search for the candidate facets which possess a high possibility to intersect with a ray then determine the actual intersecting facet, and further compute the intersection. To reduce the computational time, we employ an incremental algorithm and parallel processing based on a CUDA enabled GPU. We expect that our proposed approaches will enhance LADAR simulator software to be able to run in near realtime.

Proceedings Article | 2 May 2009 Paper

Data simulation of an airborne lidar system

Seongjoon Kim, Seonghong Min, Geunhan Kim, Impyeong Lee, Chulmin Jun

Proceedings Volume 7323, 73230C (2009) https://doi.org/10.1117/12.818545

KEYWORDS: Data modeling, Sensors, LIDAR, 3D modeling, Global Positioning System, Laser scanners, Optical simulations, Software development, 3D acquisition, Pulsed laser operation

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An airborne LIDAR (LIght Detection And Ranging) system can rapidly generate 3D points by densely sampling the terrain surfaces using laser pulses. The LIDAR points can be efficiently utilized for automatic reconstruction of 3D models of the objects on the terrain and the terrain itself. The data simulation of such a LIDAR system is significantly useful not only to design an optimal sensor for a specific application but also to assess data processing algorithms with various kinds of test data. In this study, we thus attempted to develop data simulation software of an airborne LIDAR system generally consisting of a GPS, an IMU and a laser scanner. We focused particularly on the geometric modeling of the sensors and the object modeling of the targets and background. Hence the data simulation software has been developed using these models. For the geometric modeling, we derived the sensor equation by modeling not only the geometric relationships between the three modules, such as a GPS, an IMU and a laser scanner but also the systematic errors associated with them. Moreover, for rapid and effective simulation, we designed the data model for both targets and background. We constructed the model data by converting the VRML formatted data into the designed model and stored these data in a 3D spatial database that can offer more effective 3D spatial indexing and query processing. Finally, we developed a program that generates simulated data along with the system parameters of a sensor, a terrain model and its trajectories over the model given.

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