Effective Path Modification Using Intuitive Gestures

Abstract

Human-Computer Interaction (HCI) approaches have been rapidly changing in tandem with advances in computer technologies. The Natural User Interface (NUI) concept is being actively investigated at present because it enables more intuitive and easier access than existing user interfaces. Most of the existing research on path planning aims at automatically generating paths for autonomous driving. However, current automatic path generation approaches have difficulty coping with emergency events during autonomous driving. This paper proposes an interface that overcomes this difficulty by enabling rapid path modification using gestures during autonomous driving. The gesture execution methods, algorithm to recognize gestures, and gesture recognition accuracy are described.