Heterogeneous Sensor Fusion: Verification and Optimization
The project analyzes, implements, and tests different types of heterogeneous sensor fusion, and comparatively checks them against a ground truth. Four different cases are tested, only image data, only non-image data, sequential fusion of data, and parallel fusion of data. The tracking is done with a probabilistic data association filter, which is a variation of the standard Kalman filter. The met