sensorfusion_for_dronedetection

The objective of this repo is to understand the current research in sensor fusion for drone detection. and Implement a simple sensor fusion program using opensource data

Task List

create YOLO training data from drone detection video dataset

• Task 1: Extracting frames from the video
• Task 2: Annotating those frames with bounding boxes (either manually or automatically).
• Task 3: Saving the annotations in the YOLO format.
• Task 4: Organizing the dataset for YOLO training.

train and test the two YOLO models with IR and RGB data respectively

• Task 5: Train the model with new data
• Task 6: test the model

Build DNN model for drone detection audio data

• Task 7: Saving the annotations in the YOLO format.

Results

Watch the video