Read about 4D-Net, a neural network that learns to combine inputs from streams of 3D point cloud and RGB camera image data to enable effective 3D object detection in autonomous driving while maintaining computational efficiency. https://t.co/5kpWVqM9aL https://t.co/EprRQlAL3G

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Read about 4D-Net, a neural network that learns to combine inputs from streams of 3D point cloud and RGB camera image data to enable effective 3D object detection in autonomous driving while maintaining computational efficiency. https://t.co/5kpWVqM9aL https://t.co/EprRQlAL3G
— Google AI (@GoogleAI) Feb 23, 2022

Read about 4D-Net, a neural network that learns to combine inputs from streams of 3D point cloud and RGB camera image data to enable effective 3D object detection in autonomous driving while maintaining computational efficiency. https://t.co/5kpWVqM9aL https://t.co/EprRQlAL3G https://twitter.com/GoogleAI/status/1496607024049627137 https://t.co/5kpWVqM9aL February 24, 2022 at 07:04AM

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Read about 4D-Net, a neural network that learns to combine inputs from streams of 3D point cloud and RGB camera image data to enable effective 3D object detection in autonomous driving while maintaining computational efficiency. https://t.co/5kpWVqM9aL https://t.co/EprRQlAL3G

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