Towards Robust Visual Diver Detection Onboard Autonomous Underwater Robots: Assessing the Effects of Models and Data1
Karin de Langis,Michael Fulton,Junaed Sattar,Karin de Langis,Michael Fulton,Junaed Sattar
Deep neural networks are the leading solution to the object detection problem. However, challenges arise when applying these networks to the kind of real-time, first-person video data that a robotic platform must process: specifically, detections may not be consistent from frame to frame, and objects may frequently appear at viewpoints that are particularly challenging for the model, resulting in ...
