TY - GEN
T1 - A photo-realistic driving simulation system for mixed-reality traffic experiment space
AU - Ono, Shintaro
AU - Ogawara, Koichi
AU - Kagesawa, Masataka
AU - Kawasaki, Hiroshi
AU - Onuki, Masaaki
AU - Abeki, Junichi
AU - Yano, Tori
AU - Nerio, Masami
AU - Honda, Ken
AU - Ikeuchi, Katsushi
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2005
Y1 - 2005
N2 - In this paper, we propose an efficient and effective image generation system for "Mixed Reality Traffic Experiment Space", an enhanced driving/traffic simulation system which we have been developing for Sustainable ITS project at the University of Tokyo. Conventional driving simulators represent ther view by a set of polygon-based objects, which leads to less photo-reality and huge human costs for dataset construction. We introduce our image/geometry-based hybrid method to realize more photo-realistic view with less human cost at the same time. Images for datesets are captured from real world by multiple video cameras mounted on a data acquisition vehicle. And the view for the system is created by synthesizing the image dataset. Following contents mainly describe details on data acquisition and view rendering.
AB - In this paper, we propose an efficient and effective image generation system for "Mixed Reality Traffic Experiment Space", an enhanced driving/traffic simulation system which we have been developing for Sustainable ITS project at the University of Tokyo. Conventional driving simulators represent ther view by a set of polygon-based objects, which leads to less photo-reality and huge human costs for dataset construction. We introduce our image/geometry-based hybrid method to realize more photo-realistic view with less human cost at the same time. Images for datesets are captured from real world by multiple video cameras mounted on a data acquisition vehicle. And the view for the system is created by synthesizing the image dataset. Following contents mainly describe details on data acquisition and view rendering.
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U2 - 10.1109/IVS.2005.1505194
DO - 10.1109/IVS.2005.1505194
M3 - Conference contribution
AN - SCOPUS:33745939911
SN - 0780389611
SN - 9780780389618
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 747
EP - 752
BT - 2005 IEEE Intelligent Vehicles Symposium, Proceedings
T2 - 2005 IEEE Intelligent Vehicles Symposium
Y2 - 6 June 2005 through 8 June 2005
ER -