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pro vyhledávání: '"Abobakr, Ahmed"'
LiDAR data is becoming increasingly essential with the rise of autonomous vehicles. Its ability to provide 360deg horizontal field of view of point cloud, equips self-driving vehicles with enhanced situational awareness capabilities. While synthetic
Externí odkaz:
http://arxiv.org/abs/2006.04345
Autor:
Saleh, Khaled, Abobakr, Ahmed, Attia, Mohammed, Iskander, Julie, Nahavandi, Darius, Hossny, Mohammed
Point cloud data from 3D LiDAR sensors are one of the most crucial sensor modalities for versatile safety-critical applications such as self-driving vehicles. Since the annotations of point cloud data is an expensive and time-consuming process, there
Externí odkaz:
http://arxiv.org/abs/1905.08955
Deeper convolutional neural networks provide more capacity to approximate complex mapping functions. However, increasing network depth imposes difficulties on training and increases model complexity. This paper presents a new nonlinear computational
Externí odkaz:
http://arxiv.org/abs/1806.09152