MLAD Workshop ECCV2020

Online Workshop on
Map-based Localization for Autonomous Driving

August 23, 2020

https://sites.google.com/view/mlad-eccv2020

* Important Dates *

Paper submission due: July 08, 2020

Acceptance notification: July 14, 2020

Camera Ready: July 16, 2020

Challenge deadline: August 16, 2020

Workshop @ ECCV2020: August 23, 2020

Dear Researchers,

We are happy to announce the first “Map-based Localization for Autonomous Driving” Workshop organized at ECCV2020. As the entire ECCV 2020, the workshop will take place in an online format. In this workshop, we will discuss the importance of map-based real-time localization for autonomous driving. We will focus on the problem of map generation and how to keep the maps up-to-date as well as which sensor technologies can be used. Furthermore, a new multi-season/multi-weather large-scale dataset specifically designed for the application of map-based localization in autonomous driving will be introduced. The workshop will host the 1st Map-based Visual Re-Localization Challenge, a new challenge that evaluates the long-term performance of visual SLAM systems under changing weather conditions.

* Topics *

The workshop topics include, but are not limited to:

– Visual indirect/direct SLAM

 – Developing visual localization methods to deal with conditions where current methods fail
  (weather changes, day versus night, etc.)

 – Self-supervised/semi-supervised learning

 – Domain adaptation

 – Mapping

* Invited Speakers *

 – Raquel Urtasun (Uber ATG, University of Toronto)

– Cyrill Stachniss (University of Bonn)

 – Stefan Leutenegger (Imperial College London)

– Andreas Geiger (University of Tübingen, MPI for Intelligent Systems)

 – Dengxin Dai (ETH Zürich)

* Call for Papers *

We invite researchers to submit original research papers in the area of map-based localization. Accepted papers will be presented in a poster session during the workshop and will be published in the official ECCV proceedings.

* Submission guidelines *

Submitted papers must conform to the ECCV format and may not exceed 14 pages (excluding references) (https://eccv2020.eu/author-instructions/). All submissions will be peer-reviewed (double-blind).

* Challenge *

The workshop consists of a map-based visual re-localization challenge for autonomous driving. The winner of the challenge will receive 1000 USD, and the second place will receive 500 USD.

* Sponsors *

We are happy to announce that our workshop will be sponsored by Kudan (kudan.io) and Artisense (artisense.ai).

For more information, please visit https://sites.google.com/view/mlad-eccv2020/.

We are looking forward to seeing you at ECCV2020,

The MLAD team