Radar

Classification of detections as either running pedestrians or driving cars is achieved using only the range-doppler information from a single forward facing automotive PMCW radar system.

Open source toolkit for improved integration of machine learning with Texas Instruments millimeter wave FMCW radar sensor systems.

Millimeter-wave radar has the potential to offer a weather-agnostic sensing solution to pedestrian classification. To this end, I applied a CNN architecture to micro-doppler spectrogram data simulated through Matlab in an attempt to distinguish between a pedestrian radar motion spectrogram and a bicycle radar motion spectrogram.