@inproceedings{e563467d94cd4c96ba316b23494b89e1,
title = "Integrated and scalable augmented reality multiplayer robotic platform",
abstract = "We propose a scalable AR (Augmented Reality) multiplayer robotic platform, which enables multiple players to control different machines (a drone and a robot) in shared environments, i.e virtual and real environments. We use state-of-the-art visual SLAM (Simultaneous Localization and Mapping) algorithms for tracking machine poses based on camera and IMU (Inertial Measurement Units) inputs. Players will observe consistent AR objects between them thanks to our backend system, which synchronizes the AR objects between players. Moreover, the system is scalable in term of hardware (e.g. IMU, camera, machine type) and software (SLAM algorithm) as we utilize ROS for communication between modules. We demonstrate our system on a game developed in Unity, a robust and widely used popular game engine. We present some statistics of the game such as its frames-per-second performance.",
keywords = "Drone, Multiplayer, ORB-SLAM2, ROS, SLAM, Unity, VINS-Mono",
author = "Budianto Tandianus and Seah, {Hock Soon} and Li Wang and Quah, {Chee Kwang}",
note = "Publisher Copyright: {\textcopyright} 2020 SPIE.; International Workshop on Advanced Imaging Technology, IWAIT 2020 ; Conference date: 05-01-2020 Through 07-01-2020",
year = "2020",
doi = "10.1117/12.2566243",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Lau, {Phooi Yee} and Mohammad Shobri",
booktitle = "International Workshop on Advanced Imaging Technology, IWAIT 2020",
address = "United States",
}