Dear colleagues,

you are all invited to contribute to the paper track of

“The ROAD challenge: Event detection for situation awareness in autonomous
driving”,

co-hosted by ICCV2021, deadline July 10 2021:

https://lnkd.in/gsBU5wU

The goal of this Workshop/Challenge is to put to the forefront of the
research in autonomous driving situation awareness, intended as the ability
to create semantically useful representations of dynamic road scenes in
terms of the notion of ‘road event’, leveraging our recently released ROad
event Awareness Dataset for autonomous driving (ROAD):

https://lnkd.in/gjr9M5Z

We invite contributions on the following topics:

Detecting and modelling ‘atomic’ events, intended as simple actions
performed by a single agent.
Detecting and modelling complex activities, contributed to by several
agents over an extended period of time.
Predicting agent intentions.
Dynamic scene understanding from streaming videos.
Predicting the trajectory of pedestrians, vehicles and other road users.
Forecasting future road events (both atomic and complex).
Decision making, both via reinforcement/imitation learning and via
intermediate representations, and a critical/empirical comparison between
the two approaches.
Explicability of both perception and decision making components of
autonomous driving.
Modelling road scenarios in a multi-agent framework.
Modelling the reasoning processes of road agents in terms of goals or
mental states.
Machine theory of mind for autonomous vehicles.
The role of incremental, life-long and continual learning in autonomous
driving, with a focus on situation awareness.
The use of realistic simulations to generate training data for semantic
scene understanding.
Testing and certification of AI algorithms for autonomous driving.
The ethical implications of situation awareness and automated decision
making.

The list is in no way exhaustive.

Papers must follow the ICCV 2021 template and be submitted via CMT:

https://lnkd.in/gweCKpU

The Workshop will allow for the submission of papers concurrently submitted
elsewhere to aggregate all relevant efforts in this area.

Speakers

Raquel Urtasun (Toronto)
Adrien Gaidon (TRI)
Daniela Rus (MIT)
Deva Ramanan (CMU)
Paul Newman (Oxford  University  )

Organisers

Fabio Cuzzolin, Andrew Bradley (Oxford Brookes University)
Gurkirt singh (ETH)
Reza Javanmard Alitappeh (Mazandaran University)
Stanislao Grazioso, Giuseppe Di Gironimo, Valentina Fontana (Federico II
 University, Naples)
Valentina Mușat (Oxford  University)
_______________________________________________
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

Reply via email to