Demo Data from VLDB 2026 / reviewers in the wild / expert
Daisuke Eto
dblp:70/5006
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2003
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality › augmented reality
image overlay |
0.0 | 1 | 2003 | Image Overlay on Optical See-Through Displays for Vehicle Navigation · ISMAR 2003 |
Virtual and augmented reality
tracking |
0.0 | 1 | 2003 | Image Overlay on Optical See-Through Displays for Vehicle Navigation · ISMAR 2003 |
Virtual and augmented reality › tracking
vision-based tracking |
0.0 | 1 | 2003 | Image Overlay on Optical See-Through Displays for Vehicle Navigation · ISMAR 2003 |
Methods — techniques the papers use, named apart from their topics
position/orientation estimation · 0.0angular velocity measurement · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Image Overlay on Optical See-Through Displays for Vehicle NavigationabstractIn this paper, we propose a method for image overlay on the front glass of a vehicle to navigate a driver to a desired destination. By overlaying the navigation information on the front glass, the driver need not gaze at the console panel. Therefore, accidents caused by gazing at console panel could be reduced. To overlay the image accurately on the target object through the front glass, both the vehicle's position/orientation and the driver's position/information are estimated by vision-based tracking and measuring angular velocities of the vehicle's wheels. Experimental results show the validity of the proposed method. Tomoyasu Nakatsuru, Yasuyoshi Yokokohji, Daisuke Eto, Tsuneo Yoshikawa |
ISMAR | 3 |