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Structural Material Property Tailoring Using Deep Neural Networks
Advances in robotics, artificial intelligence, and machine learning are ushering in a new age of automation, as machines match or outperform human performance.
Multi-modal Sensor Registration for Vehicle Perception via Deep Neural Networks
The ability to simultaneously leverage multiple modes of sensor information is critical for perception of an automated vehicle's physical surroundings.
Occlusion Edge Detection in RGB-D Frames using Deep Convolutional Networks
Occlusion edges in images which correspond to range discontinuity in the scene from the point of view of the observer are an important prerequisite for many vision and mobile robot tasks.
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