Abstract: Accurate understanding of 3D objects in complex scenes plays essential roles in the fields of intelligent transportation and autonomous driving technology. Recent deep neural networks have ...
Abstract: Incomplete or outdated inventories of railway infrastructures may disrupt the railway sector’s administration and maintenance of transportation infrastructure, thus posing potential threats ...
Abstract: Point cloud video modeling not only has to address the natural irregularity of point clouds, but also the challenge of capturing spatial and temporal representation simultaneously. Current ...
Abstract: We propose a co-part segmentation method that takes a set of point clouds of the same category as input where neither a ground truth label nor a prior network is required. With difficulties ...
Abstract: In recent years, following the development of sensor and computer techniques, it is favored by many fields, i.e. automatic drive, intelligent home, etc., which the deep learning based ...
Target Point Cloud Segmentation for Battery Swapping Robot Based on Multiscale Attention Aggregation
Abstract: Rapid and accurate segmentation of 3-D point clouds is critical for optimizing battery-swapping robots and ensuring precise assembly. To address the challenges of computational inefficiency ...
Abstract: Many machine learning methods have been proposed to achieve accurate transaction fraud detection, which is essential to the financial security of individuals and banks. However, most ...
Abstract: Accurate environmental perception is critical for autonomous vehicles, typically achieved through multi-sensor fusion. However, existing camera-radar fusion methods often neglect effective ...
Dietitians say you shouldn't take these vitamins in the morning ‘Tonight Show’ MC apologizes for joke after fans’ angry backlash Lakers' Luka Doncic officially suspended by NBA — here's why A family ...
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