Airborne object sense & avoid, project that uses a machine learning model to infer images to detect airborne objects, which would then be classified and tracked to predict a manoeuvre that avoids the obstacles
Uses a simple tracking approach where the object's relative position on the frame is monitored and predicts an opposite direction. Inspired by the Tracking Objects as Points paper. In future, working to integrate a form of SiamMOT (Siamese Multi-Object Tracking).
Uses a simple tracking approach where the object's relative position on the frame is monitored and predicts an opposite direction. Inspired by the Tracking Objects as Points paper. In future, working to integrate a form of SiamMOT (Siamese Multi-Object Tracking).