Shared teleoperation of a vehicle with a virtual driving interface

With further advances in intelligent vehicles today, the world welcomes the development of the Automatic Intelligent Cruise Control (AICC) and the self-driving car. However, these intelligent vehicles have many limitations in real environment. To address these problems, we developed methods of Vehicle Teleoperation. Using 3D maps, people could understand advance the surroundings and road conditions in advance. Furthermore, environmental data gathered from prior research groundwork is used to create waypoints, which are then transmitted wirelessly to the vehicle´s computer system to enable autonomous driving. Two methods are used to create waypoints. One, for instance, is to auto-generated by time; and another, is directly generated by humans. For this, we applied two algorithms and performed simulation tests. Based on the simulation results, the two algorithms suggested effectively solved the time delay problem that causes difficulties in vehicle control. It was also demonstrated to control the vehicle even without being loaded with surrounding map data.