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Radar Camera Fusion via Representation Learning in Autonomous Driving
Radars and cameras are mature, cost-effective, and robust sensors and have been widely used in the perception stack of mass-produced autonomous driving systems.
Probabilistic Oriented Object Detection in Automotive Radar
In this paper, we propose a deep-learning based algorithm for radar object detection.
Sinogram interpolation for sparse-view micro-CT with deep learning neural network
When the amount of sparsity (the amount of missing views in sinogram data) is not high, conventional interpolation methods have yielded good results.
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