5th International Workshop on "Data-Driven Intelligent Vehicle Applications"

 

June, 2nd 2024 (9:00-12:00)

A workshop in conjunction with IV 2024 in Jeju Island, Korea

CALL FOR PAPER [CLICK HERE]

Introduction

This workshop aims to address the challenges in autonomous driving by focusing on Data and Application domains. Well-labeled data is crucial to improve accuracy in deep learning applications. In this workshop, we mainly focus on data and deep learning, since data enables through applications to infer more information about the environment for autonomous driving. 

Recent advancements in processing units have improved our ability to construct a variety of architectures for understanding the surroundings of vehicles. Deep learning methods have been developed for geometric and semantic understanding of environments in driving scenarios aiming to increase the success of full autonomy with the cost of large amounts of data. Recently proposed methods challenge this dependency by pre-processing the data, enhancing, collecting, and labeling it intelligently. In addition, the dependency on data can be relieved by generating synthetic data, which alleviates this need with cost-free annotations. This workshop aims to form a platform for exchanging ideas and linking the scientific community active in the intelligent vehicles domain. This workshop will provide an opportunity to discuss applications and their data-dependent demands for the spatiotemporal understanding of the surroundings while addressing how the data can be exploited to improve results instead of changing proposed architectures.

Please click to view the workshop in the previous years.


Important Dates

DDIVA Workshop: June 2nd 2024

Please also check the conference web page for updates.

February 01, 2024: Workshop Paper Submission Deadline

March 30, 2024: Workshop Paper Notification of Acceptance

April 22, 2024: Workshop Final Paper Submission Deadline


Workshop Program

This workshop starts at 9:00 AM  (local time).

Start

End Program Speaker Title
08:00 09:00 Registration    
09:00 09:10 Opening & Welcome    
09:10 09:30 Keynote Presentation 1    
09:30 09:50 Keynote Presentation 2    
09:50 10:10 Keynote Presentation 3    
10:10 10:30 Keynote Presentation 4    
10:30 10:50 Panel Discussion    
10:50 11:10 Paper Presentation 1    
11:10 11:30 Paper Presentation 2    
11:30 11:50 Paper Presentation 3    
11:50 12:00 Closing    

Call For Papers

This workshop aims to address the challenges in autonomous driving by focusing on Data and Application domains. Spatio-temporal data is crucial to improve accuracy in deep learning applications. In this workshop, we mainly focus on data and deep learning, since data enables through applications to infer more information about environment for autonomous driving. This workshop will provide an opportunity to discuss applications and their data-dependent demands for understanding the environment of a vehicle while addressing how the data can be exploited to improve results instead of changing proposed architectures. The ambition of this full-day DDIVA workshop is to form a platform for exchanging ideas and linking the scientific community active in intelligent vehicles domain.

To this end we welcome contributions with a strong focus on (but not limited to) the following topics within Data Driven Intelligent Vehicle Applications:

  • Dataset Curation, Data Labeling
  • 3D Object Detection
  • Sensor Data Fusion
  • Semantic Segmentation
  • Sensor Calibration, Sensor Synchronization
  • Active Learning, Uncertainty Quantification
  • Cooperative Perception
  • Multi-object Tracking
  • Domain Adaptation
  • Transfer Learning
  • Traffic Simulation
  • Sim2real Transfer

 

Contact workshop organizers: walter.zimmer( at )tum.de


Submission

Please check the conference webpage for the details of submission guidelines.

Authors are encouraged to submit high-quality, original (i.e. not been previously published or accepted for publication in substantially similar form in any peer-reviewed venue including journal, conference or workshop) research. Authors of accepted workshop papers will have their paper published in the conference proceeding. For publication, at least one author needs to be registered for the workshop and the conference and present their work.

While preparing your manuscript, please follow the formatting guidelines of IEEE available here and listed below. Papers submitted to this workshop as well as IV2024 must be original, not previously published or accepted for publication elsewhere, and they must not be submitted to any other event or publication during the entire review process.

Manuscript Guidelines:

  • Language: English
  • Paper size: US Letter
  • Paper format: Two-column format in the IEEE style
  • Paper limit: 6 pages, with max. 4 additional pages allowed, but at an extra charge ($100 per page)
  • Abstract limit: 200 words
  • File format: A single PDF file, please limit the size of PDF to be 10 MB
  • Compliance: check here for more info
     

The paper template is also identical to the main IV2024 symposium:

Paper submission site: https://its.papercept.net/conferences/scripts/start.pl


Workshop Organizers