Advanced Rival Combatant LIDAR‐Guided Directed Energy Weapon Application System Using Hybrid Machine Learning

Gundu, Srinivasa Rao; Panem, Charanarur; Vijaylaxmi, J.; Dave, Aishvarya

doi:10.1002/9781394166954.ch3

Robotic Process Automation 2023

DOI: 10.1002/9781394166954.ch3

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Advanced Rival Combatant LIDAR‐Guided Directed Energy Weapon Application System Using Hybrid Machine Learning

Srinivasa Rao Gundu,

Charanarur Panem,

J. Vijaylaxmi

et al.

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LIDAR Point Cloud Augmentation for Dusty Weather Based on a Physical Simulation

Lian,

Sun,

Meng

et al. 2023

Mathematics

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LIDAR is central to the perception systems of autonomous vehicles, but its performance is sensitive to adverse weather. An object detector trained by deep learning with the LIDAR point clouds in clear weather is not able to achieve satisfactory accuracy in adverse weather. Considering the fact that collecting LIDAR data in adverse weather like dusty storms is a formidable task, we propose a novel data augmentation framework based on physical simulation. Our model takes into account finite laser pulse width and beam divergence. The discrete dusty particles are distributed randomly in the surrounding of LIDAR sensors. The attenuation effects of scatters are represented implicitly with extinction coefficients. The coincidentally returned echoes from multiple particles are evaluated by explicitly superimposing their power reflected from each particle. Based on the above model, the position and intensity of real point clouds collected from dusty weather can be modified. Numerical experiments are provided to demonstrate the effectiveness of the method.

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LIDAR Point Cloud Augmentation for Dusty Weather Based on a Physical Simulation

Lian,

Sun,

Meng

et al. 2023

Mathematics

View full text Add to dashboard Cite

show abstract

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Advanced Rival Combatant LIDAR‐Guided Directed Energy Weapon Application System Using Hybrid Machine Learning

Cited by 1 publication

References 21 publications

LIDAR Point Cloud Augmentation for Dusty Weather Based on a Physical Simulation

LIDAR Point Cloud Augmentation for Dusty Weather Based on a Physical Simulation

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