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This paper presents a study in which driver's gaze zone is categorized using new deep learning techniques. Since the sequence of gaze zones of a driver reflects precisely what and how he behaves, it allows us infer his drowsiness, focusing or distraction by analyzing the images coming from a camera. A Haar feature based face detector is combined with a correlation filter based MOSS tracker for the...
Robotic vehicles operating in outdoor environments, commonly referred to as unmanned ground vehicles (UGV), are confronted with unstructured/semi-structured environments that are variable in nature. The geographical location significantly influences the environment's appearance, there are longer term seasonal cycles, as well as immediate affects such as the weather and lighting conditions. This environmental...
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