Comprehensive LiDAR simulation with efficient physically-based DART-Lux model (I): Theory, novelty, and consistency validation

Yang, Xuebo; Wang, Yingjie; Yin, Tiangang; Wang, Cheng; Lauret, Nicolas; Regaieg, Omar; Xi, Xiaohuan; Gastellu-Etchegorry, J. P.

doi:10.1016/j.rse.2022.112952

Cited by 19 publications

(10 citation statements)

References 41 publications

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“…The advantage of the ray-tracing method [6][7][8] lies in its ability to accurately simulate the propagation and scattering process of light, as well as generate high-precision ground object echo signals. However, when dealing with complex scenes, the calculation load of ray tracing significantly increases due to multiple reflections of light, resulting in low simulation efficiency.…”

Section: Discussionmentioning

confidence: 99%

“…To address this limitation, a Monte Carlo beamwidth model is employed to describe the transmitting end of the lidar system. This model simulates a beam with a predetermined beamwidth [6,7,11] by utilizing multiple randomly distributed rays within that range, as illustrated in Figure 3. The laser pulse is assumed to be a rectangular pulse with a pulse width of τ e and an energy of Q s .…”

Section: Monte Carlo Beamwidth Modelmentioning

confidence: 99%

“…The main methods for simulating lidar target echoes include ray tracing [6][7][8], physical optics simulation [9][10][11], radar scattering field simulation [7,12,13], and other approaches. The ray-tracing method is capable of accurately simulating the propagation and scattering process of light, thereby generating high-precision echo signals.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, devices incorporating the Compute Unified Device Architecture (CUDA) can further optimize the GPU's computing power utilization. Enhanced methods for effective ray screening primarily involve reverse ray tracing or bidirectional ray tracing [6]. Reverse ray tracing is based on backward path tracing from the receiving end of the lidar to the transmitting end, ensuring that all rays are effective.…”

Section: Introductionmentioning

confidence: 99%

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Research on Ground Object Echo Simulation of Avian Lidar

Su,

Sang,

Hao

et al. 2024

Photonics

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The clutter suppression effect of ground objects significantly impacts the detection and tracking performance of avian lidar on low-altitude bird flock targets. It is imperative to simulate the point cloud data of ground objects in lidar to explore effective methods for suppressing clutter caused by ground objects in avian lidar. The traditional ray-tracing method is enhanced in this paper to efficiently obtain the point cloud simulation results of ground objects. By incorporating a beam constraint and a light-energy constraint, the screening efficiency of effective rays is improved, making them more suitable for simulating large scenes with narrow lidar beams. In this paper, a collision detection scheme is proposed based on beam constraints, aiming to significantly enhance the efficiency of ray-tracing collision detection. The simulation and experimental results demonstrate that, in comparison with other conventional simulation methods, the proposed method yields the point cloud results of ground objects that exhibit greater conformity to the actual lidar-collected point cloud results in terms of shape characteristics and intensity features. Additionally, the simulation speed is significantly enhanced.

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Section: Discussionmentioning

confidence: 99%

Section: Monte Carlo Beamwidth Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Research on Ground Object Echo Simulation of Avian Lidar

Su,

Sang,

Hao

et al. 2024

Photonics

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“…In addition to the data thresholding process, constant illuminance control is performed in the environmental system. Lighting monitoring is one of the essential things in some experiments, such as the need for illumination studies and the measurement of lux in a particular environment [20], [21].…”

Section: Data Pre-processingmentioning

confidence: 99%

Hand gesture-based automatic door security system using squeeze and excitation residual networks

Prihanto,

Effendy,

Nopriadi

2024

IJ-AI

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Viruses can be transmitted due to various aspects; one spreads through airborne droplets or the touch of multiple objects. This can occur in any area, including the entrance to the house or access to a room or deposit box. The spread of viruses that cause diseases like Covid-19 has caused many human casualties, and there is still the possibility of similar conditions appearing in the future. Several things need to be done to reduce the chances of spreading disease due to viruses, including developing contactless security support methods. This paper proposes a security system using hand gesture recognition using squeeze and excitation residual networks (SE-ResNet). This research offers a hand gesture recognition system for an automatic door system using SE-ResNet and the residual network (ResNet).

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