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

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