Cascaded laser scanning towards high-resolution LiDAR

Zolfaghari, Parviz; Khodapanahandeh, Mehrdad; Ürey, Hakan; Ferhanoğlu, Onur

doi:10.1016/j.optlastec.2023.109906

Cited by 4 publications

(1 citation statement)

References 31 publications

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“…In addition, 3D laser scanning technology utilizes laser ranging, which involves scanning the object to be measured with line structured light and collecting point cloud data from the surface of the object to be measured [ 1 ]. After performing a series of mathematical calculations, a three-dimensional model of the object to be measured is created from point cloud data [ 2 ]. In the field of linear structured laser scanning technology, the calibration of a 3D laser scanning system, laser strip center extraction, laser scanning path planning, and point cloud data processing is essential for enhancing the 3D scanning process in terms of both quality and speed.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Ant Colony Optimization with Sub-Population and Fuzzy Logic for 3D Laser Scanning Path Planning

Song,

Pu,

2024

Sensors

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For the precise measurement of complex surfaces, determining the position, direction, and path of a laser sensor probe is crucial before obtaining exact measurements. Accurate surface measurement hinges on modifying the overtures of a laser sensor and planning the scan path of the point laser displacement sensor probe to optimize the alignment of its measurement velocity and accuracy. This manuscript proposes a 3D surface laser scanning path planning technique that utilizes adaptive ant colony optimization with sub-population and fuzzy logic (SFACO), which involves the consideration of the measurement point layout, probe attitude, and path planning. Firstly, this study is based on a four-coordinate measuring machine paired with a point laser displacement sensor probe. The laser scanning four-coordinate measuring instrument is used to establish a coordinate system, and the relationship between them is transformed. The readings of each axis of the object being measured under the normal measuring attitude are then reversed through the coordinate system transformation, thus resulting in the optimal measuring attitude. The nominal distance matrix, which demonstrates the significance of the optimal measuring attitude, is then created based on the readings of all the points to be measured. Subsequently, a fuzzy ACO algorithm that integrates multiple swarm adaptive and dynamic domain structures is suggested to enhance the algorithm’s performance by refining and utilizing multiple swarm adaptive and fuzzy operators. The efficacy of the algorithm is verified through experiments with 13 popular TSP benchmark datasets, thereby demonstrating the complexity of the SFACO approach. Ultimately, the path planning problem of surface 3D laser scanning measurement is addressed by employing the proposed SFACO algorithm in conjunction with a nominal distance matrix.

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Section: Introductionmentioning

confidence: 99%

Adaptive Ant Colony Optimization with Sub-Population and Fuzzy Logic for 3D Laser Scanning Path Planning

Song,

Pu,

2024

Sensors

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Cascaded-prism multi-mode beam scanning method for three-dimensional imaging lidar

Liu,

Li,

Jiang

et al. 2024

Appl. Opt.

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Light detection and ranging (lidar) has emerged as an indispensable approach to three-dimensional (3D) perception, which probably suffers from performance limitations with traditional beam steering devices. In this paper, we investigate a cascaded-prism beam scanning method to enhance the versatility of 3D imaging lidar systems. The cascaded-prism-based 3D lidar architecture is theoretically developed with an emphasis on a rigorous beam scan model. By exploiting the additional flexibility of cascaded prisms, the lidar can achieve beam scanning through prism rotation in either step-motion or constant-speed mode, which exhibits superior agility and adaptability in multi-mode pattern analysis. Moreover, the cascaded-prism beam scanning lidar is demonstrated with a 3D imaging performance evaluation in terms of field of view, angular resolution and sampling density. It proves that the cascaded-prism beam scanner can offer lidar systems with flexible and configurable 3D imaging capability while balancing between a wide field of view and high angular resolution.

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Feedback signal detection and drive signal compensation for electromagnetic MEMS scanning mirror based on FPGA

Xu,

Xie,

2024

IEICE Electron. Express

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Cascaded laser scanning towards high-resolution LiDAR

Cited by 4 publications

References 31 publications

Adaptive Ant Colony Optimization with Sub-Population and Fuzzy Logic for 3D Laser Scanning Path Planning

Adaptive Ant Colony Optimization with Sub-Population and Fuzzy Logic for 3D Laser Scanning Path Planning

Cascaded-prism multi-mode beam scanning method for three-dimensional imaging lidar

Feedback signal detection and drive signal compensation for electromagnetic MEMS scanning mirror based on FPGA

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