AI3D 2019: Second International Workshop on Artificial Intelligence for 3D Big Spatial Data Processing Wyndham San Diego Bayside San Diego, CA, United States, December 9-11, 2019 |
Conference website | https://sites.google.com/view/ai3d2019/ |
Submission link | https://easychair.org/conferences/?conf=ai3d0 |
Abstract registration deadline | September 30, 2019 |
Submission deadline | September 30, 2019 |
Introduction and Background
Recent advances in laser technology has evolved the importance of 3D spatial data and challenges considering is processing and management. 3D spatial data is usually generated as a stream of points by mounting scanning equipment on drones and cars for large area scanning or on some stationary platform for small area scanning or indoor scanning. 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 hypergrowth. 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. The solution to this problem lies in the use of Artificial Intelligence and Deep Learning to redefine the workflow. 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
- Spatio-temporal data processing and analysis
- Geo spatial data processing and analysis
- Distributed, parallel and peer-to-peer approaches to index, search and 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 visualization 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 Visualization
Submission Guidelines
Authors are invited to submit an 8-page (regular), 4-page (short), and 2-4 page (vision or on-going) manuscript in double-column IEEE format. Manuscripts must be written in English and follow the instructions in the Manuscript Formatting and Templates page.
Document templates are located at:
All paper submissions will be carefully reviewed by at least three experts and reviews will be returned to the author(s) with comments to ensure the high quality of the accepted papers. The authors of accepted papers must guarantee that their paper will be presented at the workshop. Please only submit original material where copyright of all parts is owned by the authors declared and which is not currently under review elsewhere. Please see the IEEE policies for further information.
Manuscript Submission Instructions
Only electronic submission will be accepted. Technical paper authors MUST submit their manuscripts through EasyChair. Manuscripts may only be submitted in PDF format.
Camera-ready Submission Instructions
Your final papers MUST be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see the templates listed earlier). It is highly recommended that you proofread and check the layout of your paper BEFORE submitting.
Note:
- Every paper accepted for publication in the Proceedings MUST be presented during the workshop.
- Every paper accepted MUST have attached to it at least one registration at the full member/nonmember rate. Thus, for a paper for which all authors are students, one student author will be required to register at the full registration rate.
Failure to do so will result in removal of your paper from the conference proceedings. Regular workshop papers allow up to 2 extra pages and short papers up to 1 extra page with $150 per extra page.
- Full Paper: 8 pages
- Short Paper: 4 pages
- Vision and On-going Research Paper: 2-4 pages
Special Journal Issues
The AI3D Organizing Committee is proud to announce that the authors of the selected papers will be invited to submit the extended versions of their manuscripts for publication in the Special Issues of the following International Journals:
- SENSORS
- Sensors (ISSN 1424-8220) provides an advanced forum for the science and technology of sensors and biosensors. The sensor is an Open Access journal with High Visibility (indexed by the Science Citation Index Expanded, MEDLINE, Ei Compendex, Inspec and Scopus) and High Impact Factor (2.475 (2017) ; 3.014 (5-Years))
- Special Issue for AI3D 2019 selected papers (Click here for further information on the special issue)
- REMOTE SENSING
- Remote Sensing (ISSN 2072-4292) publishes regular research papers, reviews, letters and communications covering all aspects of remote sensing science, from sensor design, validation / calibration, to its application in geosciences, environmental sciences, ecology and civil engineering. the remote sensing is an Open Access journal with High Visibility (Science Citation Index Expanded, Scopus, Ei Compendex, and others) and High Impact Factor (3.406 (2017) ; 3.952 (5-Years)).
- Special Issue for "Data Science, Artificial Intelligence and Remote Sensing" (Click here for further information on the special issue)
Committees
General Co-chairs
- Prof. Dr. Sisi Zlatanova, UNSW, Australia
- Dr. Kyoung-Sook Kim, AIRC, AIST, Japan
Program Co-chairs
- Dr. Salman Ahmed Shaikh, AIRC, AIST, Japan
- Dr. Jun Lee, AIRC, AIST, Japan
Program Committee
- Prof Dr. Liangliang Nan, TU Delft, Netherlands
- Prof. Dr. Adam Jatowt, Kyoto University, Japan
- Dr. Anh Vu Vo, New York University, USA
- Dr. Akiyoshi Matono, AIRC, AIST, Japan
- Dr. Jianquan Liu, NEC, Japan
- Prof. Dr. Omar Arif, NUST, Pakistan
- Prof. Dr. Mohsin Memon, MUET, Pakistan
- Dr. Savong Bou, Toyota Technological Institute, Japan
- Dr. Chidchanok Choksuchat, Prince of Songkla University, Thailand
- Dr. Yuyang Dong, NEC, Japan
- More to be added
Contact
For any query, contact us at: ai3d2019-ml@aist.go.jp.