Abstract: With the outstanding performance of deep learning technology in semantic segmentation, object detection and other aspects, researchers have gradually tried to apply it to the field of ...
Abstract: A point ahead angle (PAA) prediction algorithm based on PSO-BP neural network model is proposed for satellite laser communication, with high prediction accuracy and low complexity. The ...
Abstract: In this paper, we present a hardware-efficient 1200-point single-path delay feedback (SDF) fast Fourier transform (FFT) architecture. Contrary to previous FFT architectures for ...
Abstract: This paper proposes a point cloud registration method for substations based on an improved SAC-IA algorithm. This method optimizes the SAC-IA algorithm by filtering the randomly selected ...
Abstract: Sintering is a crucial upstream process in the steelmaking process, and accurately predicting the burning through point (BTP) is vital for the yield and quality of sintered ore. The rise of ...
In this work, we propose a novel, fast, and memory-efficient unsupervised statistical method, combined with an unsupervised deep learning (DL) model, for de-snowing 3D LiDAR point clouds in a fully ...
Abstract: 17-point algorithm is a popular method in relative pose estimation of multi-cameras. However, the role of overlap in 17-point algorithm remains unexplored. And the relaxed way in solving ...
Abstract: LiDAR point cloud data is essential in autonomous driving, robotic navigation, and 3D modeling. However, noise caused by sensor errors and environmental factors degrades data quality and ...
Abstract: Simulating the dynamic radar echo from the wind turbine array plays an important role in improving the anti-interference ability of radar. However, the traditional methods can hardly ...
Abstract: The acquisition of targets’ complete point cloud model is crucial for tasks such as 3D reconstruction and disordered grasping. Shooting targets from multiple perspectives and registering ...
Abstract: Point cloud alignment plays a crucial role in numerous fields and applications, enabling the integration, analysis, and reconstruction of 3D data. SAmple Consensus Initial Alignment (SAC-IA) ...
Abstract: In this paper, we investigate the methods of multitarget tracking in imaging process, focusing on both point targets and extended targets. Point target imaging is characterized by low signal ...
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