Sparse sensor reconstruction of vortex-impinged airfoil wake with machine learning

Sensor validation with machine learning

Since commercial and residential buildings account for nearly half of the United States energy consumption, making them more energy-efficient is a vital part of the nations overall energy strategy. Sensors play an important role in this research by collecting data needed to analyze building performance. Given this reliance on sensors, ensuring that sensor data is valid is a crucial problem. The...

Surface Reconstruction with Sparse Point Clouds of Velodyner Sensor

Fast surface reconstruction from dense point clouds data(PCD) is a popular topic in robotics. However, it is still challenging to make large-scale surface maps with sparse PCD. This paper proposes a method to build surface maps using the PCD generated by velodyner HDL32E laser scanner, which is wildly used in automatic driving vehicles and wild exploring robots. Supervoxel clustering method is ...

Wake Vortex Algorithm Scoring Results

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Vortical Patterns in the Wake of an Oscillating Airfoil

Fast Reconstruction of SAR Images with Phase Error Using Sparse Representation

In the past years, a number of algorithms have been introduced for synthesis aperture radar (SAR) imaging. However, they all suffer from the same problem: The data size to process is considerably large. In recent years, compressive sensing and sparse representation of the signal in SAR has gained a significant research interest. This method offers the advantage of reducing the sampling rate, bu...