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DOI: 10.17586/1023-5086-2025-92-06-66-76
УДК: 535.36
High-performance method for the simulation of laser range profile with the use of the mechanism of the graphics processing unit rasterization
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Альес М.Ю., Шелковников Е.Ю., Шляхтин К.А. Высокопроизводительный метод моделирования дальностного портрета с применением механизма растеризации графического процессора // Оптический журнал. 2025. Т. 92. № 6. С. 66–76. http://doi.org/10.17586/1023-5086-2025-92-06-66-76
Alies M.Yu., Shelkovnikov E.Yu., Shlyahtin K.A. High-performance method for the simulation of laser range profile with the use of the mechanism of the graphics processing unit rasterization [in Russian] // Opticheskii Zhurnal. 2025. V. 92. № 6. P. 66–76. http://doi.org/10.17586/1023-5086-2025-92-06-66-76
Subject of study. Laser range profile formed by the reflection of the pulse of laser radiation from the object in a lidar system. Aim of study. Development of the method for simulation of laser range profiles of objects. Method. To determine the laser range profile of a three-dimensional scene, it is proposed to split the surfaces of the scene objects into surface elements which are projected to the pixels of the screen with the use of the standard mechanism of the graphics processing unit rasterization. For each surface element a pixel shader calculates the impulse response. By constructing a weighted histogram, the impulse response of the scene is determined. The laser range profile of the scene is calculated by convolution of the impulse response of the scene with the impulse response of the lidar system. Main results. A mathematical model of the laser range profile obtained by lidar system is developed. A method is proposed for computing the laser range profile of a scene consisting of 3D-objects using the mechanism of the graphics processing unit rasterization. The algorithm of the program that performs this computation is described. The model adequacy has been verified by comparing the computation results with the data acquired by other authors. Practical significance. The use of the method offers a promising potential for the simulation of the laser range profiles of complex scenes, permits to study the operation of lidars in various conditions, to develop the algorithms for the processing of scanning results and to create a data base for the implementation of the machine learning techniques for object recognition with the use of laser range profile.
laser range profile, mathematical model, lidar, simulation, reflection, rasterization
OCIS codes: 100.2960, 140.3538, 280.3640, 290.1350
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