TRAINING A NEURAL NETWORK TO GENERATE A DENSE DEPTH MAP FROM IMAGE AND LIDAR DATA
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United States of America
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Issued Date -
Mar 20, 2025
app pub date -
Sep 14, 2023
filing date -
Sep 14, 2023
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Abstract
An example device for training a neural network includes a memory configured to store a neural network model for the neural network; and a processing system comprising one or more processors implemented in circuitry, the processing system being configured to: extract image features from an image of an area, the image features representing objects in the area; extract point cloud features from a point cloud representation of the area, the point cloud features representing the objects in the area; add Gaussian noise to a ground truth depth map for the area to generate a noisy ground truth depth map, the ground truth depth map representing accurate positions of the objects in the area; and train the neural network using the image features, the point cloud features, and the noisy ground truth depth map to generate a depth map.
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