2nd International Workshop on "Data Driven Intelligent Vehicle Applications"

DDIVA 2020

 

Sunday, June 23rd, 2020

A workshop in conjunction with IV 2020 in Las Vegas, NV, United States

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Recent advancements in the processing units have improved our ability to construct a variety of archi- tectures for understanding the surroundings of vehicles. Deep learning methods have been developed for geometric and semantic understanding of environments in driving scenarios aim to increase the suc- cess of full-autonomy with the cost of large amount 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 the cost-free annotations, as well as using the test drive data from the sensors and hardware mounted on a vehicle. Nevertheless, state of the driver and passengers inside the cabin have been also of a big importance for the traffic safety and the holistic spatio-temporal perception of the environment.

Aim of this workshop is to form a platform for exchanging ideas and linking the scientific community active in intelligent vehicles domain. This workshop will provide an opportunity to discuss applications and their data-dependent demands for spatio-temporal understanding of the surroundings as well as inside of a vehicle while addressing how the data can be exploited to improve results instead of changing proposed architectures.


Important Dates

Workshop paper submission: March 14th, 2020

Notification of workshop paper acceptance: April 18th, 2020

Final Workshop paper submission: May 2nd, 2020

DDIVA Workshop on: June 23rd, 2020

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Call For Papers

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:

 

Data Perspective:

  • Synthetic Data Generation
  • Sensor Data Synchronization
  • Sequential Data Processing
  • Data Labeling
  • Data Visualization
  • Data Discovery

Application Perspective:

  • Visual Scene Understanding
  • Large Scale Scene Reconstruction
  • Semantic Segmentation
  • Object Detection
  • In Cabin Understanding
  • Emotion Recognition

 

Contact workshop organizers: emec.ercelik( at )tum.de / burcu.karadeniz( at )in.tum.de

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Submission

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 IV2020 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: For the initial submission, a manuscript can be 6-8 pages. For the final submission, a manuscript should be 6 pages, with 2 additional pages allowed, but at an extra charge ($100 per page)
  • Abstract limit: 300 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 IV2020 symposium:

To go paper submission site, please click here.

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Preliminary Workshop Program

StartEnd
9:009:15Introduction & Welcome
9:1510:00Keynote Speaker (Data Perspective)
10:0010:15Accepted Paper 1
10:1510:30Accepted Paper 2
10:3011:00Coffee Break
11:0011:15Accepted Paper 3
11:1511:30Accepted Paper 4
11:3012:00Panel Discussion 1
12:0013:00Lunch / Poster Session
13:0013:15Accepted Paper 5
13:1513:30Accepted Paper 6
13:3013:45Accepted Paper 7
13:4514:15Coffee Break / Poster
14:1515:00Keynote Speaker (Application Perspective)
15:0015:30Coffee Break / Poster
15:3016:15Keynote Speaker (Application Perspective)
16:1517:00Panel Discussion 2
17:0017:15Closing

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Workshop Organizers

Prof. Dr.-Ing. habil. Alois Knoll
Technical University of Munich,
Germany
Emec Ercelik
Research Assistant,
Technical University of Munich,
Germany
Esra Icer
Research Associate,
Technical University of Munich
Germany
Burcu Karadeniz
Research Assistant,
Technical University of Munich,
Germany
Dr. Neslihan Köse Cihangir
Research Scientist,
Intel Labs
Sina Shafaei
Research Assistant,
Technical University of Munich,
Germany
Christoph Segler
PhD Candidate,
BMW Group, Munich,
Germany
Julian Tatsch
PhD Candidate,
BMW Group, Munich,
Germany

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