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Source Feature Compression for Object Classification in Vision-Based Underwater Robotics
New efficient source feature compression solutions are proposed based on a two-stage Walsh-Hadamard Transform (WHT) for Convolutional Neural Network (CNN)-based object classification in underwater robotics.
Location-aware Beamforming for MIMO-enabled UAV Communications: An Unknown Input Observer Approach
Numerous communications and networking challenges prevent deploying unmanned aerial vehicles (UAVs) in extreme environments where the existing wireless technologies are mainly ground-focused; and, as a consequence, the air-to-air channel for UAVs is not fully covered.
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