1st International Workshop on "Data Driven Intelligent Vehicle Applications"

DDIVA 2019

 

Sunday, June 9th, 2019

A workshop in conjunction with IV 2019 in Paris, France

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Recent advancements in the processing units have improved our ability to construct a variety of architectures for understanding the surroundings of vehicles. Deep learning methods developed for geometric and semantic understanding of environments in driving scenarios aim to increase the success 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 test drive data from the sensors and hardware mounted on a vehicle. Nevertheless, deep learning architectures can benefit from sensors and hardware which have originally been integrated for other functionalities.

Therefore, systematic approaches and methods can be used to discover the built-in hardware to improve the performance of autonomous driving. The 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 understanding the environment of a vehicle while addressing how the data can be exploited to improve results instead of changing proposed architectures.


Call For Papers

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. 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.

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

 


Contact workshop organizers: shafaei@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.

The format and instructions are identical to all symposium papers and is available at Here,

The paper template is also identical to the main IV2019 symposium:

To go paper submission site, please click here.

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Important Dates

Workshop paper submission: February 7th, 2019

Notification of workshop paper acceptance: March 29th, 2019

Final Workshop paper submission: April 22th, 2019

DDIVA Workshop on: June 9th, 2019

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Workshop Organizers

Alois Knoll
Prof. Dr.-Ing. habil.
Technical University of Munich,
Germany
Sina Shafaei
Research Assistant,
Technical University of Munich,
Germany
Esra Icer
Research Associate,
Technical University of Munich
Germany
Emec Ercelik
Research Assistant,
Technical University of Munich,
Germany
Burcu Karadeniz
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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Program

Will be announced later.