Map-based Localization for Autonomous Driving - ECCV 2020 Call for Papers

MLAD Workshop ECCV2020

Online Workshop on
Map-based Localization for Autonomous Driving

August 23, 2020

* 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

* 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) ( 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
( and Artisense (

For more information, please visit

We are looking forward to seeing you at ECCV2020,

The MLAD team