TY - GEN
T1 - Previewed reality
T2 - 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017
AU - Horikawa, Yuta
AU - Egashira, Asuka
AU - Nakashima, Kazuto
AU - Kawamura, Akihiro
AU - Kurazume, Ryo
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/13
Y1 - 2017/12/13
N2 - This paper presents a near-future perception system named 'Previewed Reality'. The system consists of an informationally structured environment (ISE), an immersive VR display, a stereo camera, an optical tracking system, and a dynamic simulator. In an ISE, a number of sensors are embedded, and information such as the position of furniture, objects, humans, and robots, is sensed and stored in a database. The position and orientation of the immersive VR display are also tracked by an optical tracking system. Therefore, we can forecast the next possible events using a dynamic simulator and synthesize virtual images of what users will see in the near future from their own viewpoint. The synthesized images, overlaid on a real scene by using augmented reality technology, are presented to the user. The proposed system can allow a human and a robot to coexist more safely by showing possible hazardous situations to the human intuitively in advance.
AB - This paper presents a near-future perception system named 'Previewed Reality'. The system consists of an informationally structured environment (ISE), an immersive VR display, a stereo camera, an optical tracking system, and a dynamic simulator. In an ISE, a number of sensors are embedded, and information such as the position of furniture, objects, humans, and robots, is sensed and stored in a database. The position and orientation of the immersive VR display are also tracked by an optical tracking system. Therefore, we can forecast the next possible events using a dynamic simulator and synthesize virtual images of what users will see in the near future from their own viewpoint. The synthesized images, overlaid on a real scene by using augmented reality technology, are presented to the user. The proposed system can allow a human and a robot to coexist more safely by showing possible hazardous situations to the human intuitively in advance.
UR - http://www.scopus.com/inward/record.url?scp=85041961991&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85041961991&partnerID=8YFLogxK
U2 - 10.1109/IROS.2017.8202181
DO - 10.1109/IROS.2017.8202181
M3 - Conference contribution
AN - SCOPUS:85041961991
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 370
EP - 375
BT - IROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 24 September 2017 through 28 September 2017
ER -