Abstract
Nowadays, controlling vehicles through video image-based interfaces is becoming more common. Tele-robot operation is one of applications of those interfaces. Thanks to advanced functions of driving assistance systems, it is possible to automatically avoid actually crashing with obstacles. However future prediction in real time route planning during actual operation is a challenging issue for operators. This paper introduces a vehicle operation interface which presents a predicted future. The interface consists of a real time depth image based on modeling technique of real environments and a trajectory prediction of a vehicle. The predicted vehicle interacts with the real world by using a physics engine on Augmented Reality. It assists human ability to control vehicles in unknown real environments.
