MLAD Workshop ECCV2020

Map-based Localization for Autonomous Driving – ECCV 2020

Glasgow, UK, 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 in Glasgow. 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)

 – Stefan Leutenegger (Imperial College London)

 – 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