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Vehicle-Detection-and-Tracking
Vehicle-Detection-and-Tracking PublicComputer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering
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lidar_ground_plane_and_obstacles_detections
lidar_ground_plane_and_obstacles_detections PublicPython and C++ examples that show shows how to process 3-D Lidar data by segmenting the ground plane and finding obstacles.
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Unscented_Kalman_Filter
Unscented_Kalman_Filter PublicUnscented Kalman filtering in Python and C++ for tracking and localization applications
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fiber_cuts_prediction
fiber_cuts_prediction PublicTime Series Analyses and Machine Learning for Classifying Events prior to Fiber Cuts
Jupyter Notebook 4
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vision_assisted_5G_beam_selection_with_federated_learning
vision_assisted_5G_beam_selection_with_federated_learning PublicJupyter Notebook 2
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Loss_Given_Default_Prediction_Models
Loss_Given_Default_Prediction_Models PublicRegression Models for predicting Loss Given Default (LGD) by accounting for the limits of the LGD variable, typically 0% to 100%. In a default scenario, The models predict the expected loss for a l…
Jupyter Notebook 1
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