-------- Forwarded Message --------
***************************************************************************
We apologize if you receive multiple copies of this CFP
***************************************************************************
C A L L F O R P A P E R S
The 3rd International Workshop on Artificial Intelligence for 3D
Big
Spatial Data Processing - AI3D2020
September 14 - 17, 2020
Bratislava, Slovakia
http://www.dexa.org/ai3d2020
email:
ai3d2020@easychair.org
Papers submission:
https://easychair.org/conferences/?conf=ai3d2020
*** IMPORTANT DATES ***
Paper submission: March 16, 2020
Notification of acceptance: May 20, 2020
Camera-ready copies due: June 19, 2020
*** PUBLICATION ***
All accepted papers will be published by Springer in
"Communications in
Computer and Information Science".
*** SCOPE ***
The AI3D 2020 workshop is intended to provide a common forum for
researchers, scientists, engineers, and practitioners throughout
the
world to present their latest research findings, developments, and
applications in the area of Artificial Intelligence for 3D Big
Spatial
Data Processing. Recent advances in laser technology has resulted
in the
generation of a massive amount of 3D spatial data. The 3D spatial
data
offer a useful source of information for natural resource
management,
urban panning, autonomous driving, etc. Artificial intelligence
(AI) has
the potential to take the 3D spatial data processing into
hyper-growth.
Recently, 3D indoor mapping systems, terrestrial mobile mapping
systems
(MMS) and airborne LiDAR systems are capable of collecting
terabytes of
data (including images and point clouds) in a single scan or on a
single
trip. Existing approaches and tools lack the efficient management,
processing and analysis of 3D spatial data. Many of these issues
can be
solved by using Artificial Intelligence and Deep Learning to
redefine the
work flow. This workshop focuses on the use of Artificial
Intelligence
and Deep Learning to improve the processing, management and
analysis of
3D Big Spatial data. The workshop aims at providing a platform to
the
group of researchers working in this direction to share their
work,
exchange ideas, and solve research problems.
*** TOPICS OF INTEREST ***
A list of topics of interest includes but is not limited to: - AI
and the 3D scanning technologies and devices
- Use of AI in 3D view registration and surface modeling
- Intelligent LiDAR data processing, management and analysis
- Point cloud data processing and analysis
- 3D modeling and depth image processing
- Spatio-temporal data processing and analysis
- Geo spatial data processing and analysis
- Distributed, parallel and peer-to-peer approaches to index,
search and
\item process 3D Big spatial data
- AI based object detection from point cloud and images
-Supervised/Unsupervised object annotation in 3D data
- Point cloud data indexing and querying
- 3D Big spatial data architectures
- 3D Big spatial data visualisation and analytics
- 3D Big spatial data cleaning, compression and integration
- Geographic Information Retrieval
- Indoor and outdoor mapping
- 3D mapping
- Urban Planning
- Spatial data applications
- User Interfaces and Visualisation
*** SUBMISSION GUIDELINES ***
Authors are invited to electronically submit original research
contributions or experience reports in English. AI3D 2020 will
accept
submissions of both short (up to 10 pages) and full papers (up to
15
papers). The submitted manuscript should closely reflect the final
paper
as it will appear in the Proceedings. AI3D reserves the right to
accept
papers only as short papers, in which papers describe interesting
and
innovative ideas which still require further technical
development. Any
submission that significantly exceeds length limits or deviates
from
formatting requirements may be rejected without review. FormOnline
Papers Submission:
https://easychair.org/conferences/?conf=ai3d2020
*** REVIEW PROCESS ***
Submitted papers will be carefully evaluated based on originality,
significance, technical soundness, and clarity of exposition.
Duplicate
submissions are not allowed and will be rejected immediately
without
further review. Authors are expected to agree to the following
terms: "I
understand that the submission must not overlap substantially with
any
other paper that I am a co-author of or that is currently
submitted
elsewhere. Furthermore, previously published papers with any
overlap are
cited prominently in this submission." Questions about this policy
or
how it applies to a specific paper should be directed to the PC
Co-chairs.
*** ACCEPTED PAPERS ***
All accepted conference papers will be published in a volume of
"Lecture
Notes in Computer Science" (LNCS) by Springer Verlag. Authors of
all
accepted papers must sign a Springer copyright release form.
Papers are
accepted with the understanding that at least one author will
register
for the conference to present the paper. All published papers will
be
indexed appropriately in all major indexes.
*** Organisation Committee ***
General Co-Chairs:
- Prof. Dr. Sisi Zlatanova, UNSW, Australia
- Dr. Kyoung-Sook Kim, AIRC, AIST, Japan
Program Chair:
- Dr. Salman Ahmed Shaikh, AIRC, AIST, Japan
Program committees:
http://www.dexa.org/ai3d2020
Further inquiries please contact PC chairs/co-Chairs
(
ai3d2020@easychair.org)
-------------------------------------------------
Hesti Sudjana Departement of Telecooperation Johannes Kepler
University Linz
Science Park 3, Altenberger Straße 69, 4040 Linz, Austria
-------------------------------------------------
_______________________________________________
AISWorld mailing list
AISWorld@lists.aisnet.org