Optical target tracking by scheduled range measurements

Ferdowsi, Mohammad Hossein; Sabzikar, Ebrahim

doi:10.1117/1.oe.54.4.044101

Cited by 4 publications

(3 citation statements)

References 15 publications

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Section: Related Workmentioning

confidence: 99%

“…If the physical size of each pixel is obtained by the calibrated internal parameters as sx = 1/dx, sy = 1/dy, the dimensions of which are 1/mm, the conversion formula, as shown in Equation (3) [29][30][31], is able to facilitate the coordinate transformation from ICS to CCS: The definition of each quantity expressed in Figure 4 is as follows: the coordinates of the target P under the WCS are set to be Pw (Xw, Yw, Zw), and the coordinates of its projection point under the ICS are Pu (Xu, Yu, Zu). θ is the angle between the connection line formed by the origin O and Pw under the CCS and the optical axis Z, which represents the attitude information.…”

Section: Position Relationship Between Cameras and Target Coordinatesmentioning

confidence: 99%

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Least-Square-Method-Based Optimal Laser Spots Acquisition and Position in Cooperative Target Measurement

Feng

et al. 2022

Sensors

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The relative positioning precisions of coordinate points is an important indicator that affects the final accuracy in the visual measurement system of space cooperative targets. Many factors, such as measurement methods, environmental conditions, data processing principles and equipment parameters, are supposed to influence the cooperative target’s acquisition and determine the precision of the cooperative target’s position in a ground simulation experiment with laser projected spots on parallel screens. To overcome the precision insufficiencies of cooperative target measurement, the factors of the laser diode supply current and charge couple device (CCD) camera exposure time are studied in this article. On the hypothesis of the optimal experimental conditions, the state equations under the image coordinates’ system that describe the laser spot position’s variation are established. The novel optimizing method is proposed by taking laser spot position as state variables, diode supply current and exposure time as controllable variables, calculating the optimal controllable variables through intersecting the focal spot centroid line and the 3-D surface, and avoiding the inconvenience of solving nonlinear equations. The experiment based on the new algorithm shows that the optimal solution can guarantee the focal spot’s variation range in 5–10 pixels under image coordinates’ system equivalent to the space with a 3 m distance and 0.6–1.2 mm positioning accuracy.

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…”

Section: Related Workmentioning

confidence: 99%

Section: Position Relationship Between Cameras and Target Coordinatesmentioning

confidence: 99%

Least-Square-Method-Based Optimal Laser Spots Acquisition and Position in Cooperative Target Measurement

Feng

et al. 2022

Sensors

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“…For example, it can help athletes improve their competitive performance, and it can also make the missions more smoothly completed for miniature unmanned aerial vehicles. Particularly, the measurement of projectile flight parameters is a highly concerning issue in the process of weapon development and production all over the world [1,2].…”

Section: Introductionmentioning

confidence: 99%

Optimization Method of Integrated Light‐Screen Array with External Parameters Based on Genetic Algorithm

Chen

Duan

2021

Wireless Communications and Mobile Computing

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Due to the high sensitivity and fast response, the light-screen array measurement principle is suitable for the dynamic parameter measurement of small and fast targets including projectile. Since the spatial structures of the light-screen array determine the measurement accuracy, internal parameters such as the angles between the light-screens are usually calibrated and then directly used in the field. However, the effect of the measuring state is ignored in the test field. This paper takes the integrated light-screen array sky vertical target as the research object, and two rotation angles are introduced as external parameters to describe the deviation between the calibration state and measuring state of the target, so as to optimize the measurement model. Aiming at the problem that the external parameters cannot be measured directly, an external parameter inversion method of machine learning based on a genetic algorithm is designed under a complex engineering model. The deviation between the projectile hole and the light-screen array measurement coordinates is used to build an inversion database for the genetic algorithm during the machine learning process. The simulation and the live firing test show that the optimization method and parameter identification algorithm in this paper can optimize the measurement model and improve the measurement accuracy of the light-screen array principle directly and can also provide a reference for the optimization and parameter identification in other engineering problems.

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Testability of six-intersection detection area measurement method based on photoelectric detection

Hui

Yuan

2020

Optik

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Optical target tracking by scheduled range measurements

Cited by 4 publications

References 15 publications

Least-Square-Method-Based Optimal Laser Spots Acquisition and Position in Cooperative Target Measurement

Least-Square-Method-Based Optimal Laser Spots Acquisition and Position in Cooperative Target Measurement

Optimization Method of Integrated Light‐Screen Array with External Parameters Based on Genetic Algorithm

Testability of six-intersection detection area measurement method based on photoelectric detection

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