Seongwook Park

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Object recognition processors have been reported for the applications of autonomic vehicle navigation, smart surveillance and unmanned air vehicles (UAVs) [1-3]. Most of the processors adopt a single classifier rather than multiple classifiers even though multi-classifier systems (MCSs) offer more accurate recognition with higher robustness [4]. In(More)
Recently, KAIST has introduced the novel on-line electric vehicle (OLEV), in which the automotive vehicle constantly receive and recharge their power from the power lines embedded underneath the surface of the road. OLEV has the reduced battery capacity to about 20% compared to that of the conventional battery-powered electric vehicles, while it can(More)
Deep Learning algorithm is widely used for various pattern recognition applications such as text recognition, object recognition and action recognition because of its best-in-class recognition accuracy compared to hand-crafted algorithm and shallow learning based algorithms. Long learning time caused by its complex structure, however, limits its usage only(More)
Smart eyeglasses or head-mounted displays (HMDs) have been gaining traction as next-generation mainstream wearable devices. However, previous HMD systems [1] have had limited application, primarily due to their lacking a smart user interface (UI) and user experience (UX). Since HMD systems have a small compact wearable platform, their UI requires new(More)