dj 4d net

2024-05-04


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In "4D-Net for Learned Multi-Modal Alignment", published at ICCV 2021, we present a neural network that can process 4D data, which we call 4D-Net. This is the first attempt to effectively combine both types of sensors, 3D LiDAR point clouds and onboard camera RGB images, when both are in time.

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4D-Net for Learned Multi-Modal Alignment. AJ Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova. We present 4D-Net, a 3D object detection approach, which utilizes 3D Point Cloud and RGB sensing information, both in time. We are able to incorporate the 4D information by performing a novel dynamic connection learning across various ...

We present 4D-Net, a 3D object detection approach, which utilizes 3D Point Cloud and RGB sensing informa- tion, both in time. We are able to incorporate the 4D infor- mation by performing a novel dynamic connection learning across various feature representations and levels of abstrac- tion, as well as by observing geometric constraints.

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