May 4th, 2023 
Daniela Lopez de Luise We are excited to announce “ROAD++: The Second Workshop & Challenge on Event Detection for Situation Awareness in Autonomous Driving”, in conjunction with the upcoming International Conference on Computer Vision (#ICCV2023).
https://lnkd.in/ehg3nP5C
The #workshop aims to bring together researchers and practitioners in the field of #autonomousdriving to present and discuss recent advances in event detection for #situationalawareness.
The focus of the event is a ground-breaking competition centered on the detection of road events (triplets formed by #agent, action and location) in a challenging domain adaptation environment.
The challenge will leverage our new ROAD++ benchmark which scales up the road event annotation originally developed for the ROAD #dataset (https://lnkd.in/gsBU5wU) to the Waymo dataset (https://waymo.com/open/), with prizes for the top three entries.
For the paper track we welcome papers reporting original research, case studies, or work-in-progress papers related to the theme of the workshop.
We will award a best paper and a best student paper prize, host spotlight presentations and hold poster sessions for all accepted papers.
Topics of interest include, but are not limited to:
– Detection and modelling of 'atomic' road events.
– Detection and modelling of complex road activities, involving several agents over an extended period of time.
– Agent intention #prediction .
– Prediction of the trajectory of pedestrians and vehicles.
– Forecast of future road events.
– Multi-agent modelling of road scenes.
– Realistic simulation for training of perceptual models.
– Generative #AI for situation awareness.
– Fusion of multi-sensor data for situation awareness.
– Machine theory of mind.
– Continual learning from video streams.
– Domain adaptation.
– Datasets and evaluation metrics and datasets for situation awareness in #autonomousvehicles.
Papers are to be submitted using the ICCV template via CMT. The Workshop will allow for the submission of papers concurrently submitted elsewhere, with the aim of aggregating all relevant efforts in this area.
The workshop will host invited speakers of the calibre of Marco Pavone (Stanford), Holger Caesar (TU Delft), Bernard Ghanem (KAUST), Xinshuo Weng (NVIDIA), Raim Al-Rfou and Yin Zhou (Waymo).
Workshop timeframe:
· Submission site open: May 2
· Paper Submission: July 2
· Acceptance: Aug 7
· Camera-ready: Aug 17
Challenge timeframe:
· Registration open: April 24
· Training and validation data: May 2
· Test data: July 15
· Submission deadline: Aug 5
· Results: Aug 10
Organisers:
Fabio Cuzzolin, Andrew Bradley, Salman Khan, Izzeddin Teeti (Oxford Brookes University)
Gurkirt singh (ETH Zurich)
Eleonora Giunchiglia (TU Wien)
Mihaela Catalina Stoian (University of Oxford)
Reza Javanmard Alitappeh (Mazandaran University)
https://lnkd.in/ehg3nP5C
The #workshop aims to bring together researchers and practitioners in the field of #autonomousdriving to present and discuss recent advances in event detection for #situationalawareness.
The focus of the event is a ground-breaking competition centered on the detection of road events (triplets formed by #agent, action and location) in a challenging domain adaptation environment.
The challenge will leverage our new ROAD++ benchmark which scales up the road event annotation originally developed for the ROAD #dataset (https://lnkd.in/gsBU5wU) to the Waymo dataset (https://waymo.com/open/), with prizes for the top three entries.
For the paper track we welcome papers reporting original research, case studies, or work-in-progress papers related to the theme of the workshop.
We will award a best paper and a best student paper prize, host spotlight presentations and hold poster sessions for all accepted papers.
Topics of interest include, but are not limited to:
– Detection and modelling of 'atomic' road events.
– Detection and modelling of complex road activities, involving several agents over an extended period of time.
– Agent intention #prediction .
– Prediction of the trajectory of pedestrians and vehicles.
– Forecast of future road events.
– Multi-agent modelling of road scenes.
– Realistic simulation for training of perceptual models.
– Generative #AI for situation awareness.
– Fusion of multi-sensor data for situation awareness.
– Machine theory of mind.
– Continual learning from video streams.
– Domain adaptation.
– Datasets and evaluation metrics and datasets for situation awareness in #autonomousvehicles.
Papers are to be submitted using the ICCV template via CMT. The Workshop will allow for the submission of papers concurrently submitted elsewhere, with the aim of aggregating all relevant efforts in this area.
The workshop will host invited speakers of the calibre of Marco Pavone (Stanford), Holger Caesar (TU Delft), Bernard Ghanem (KAUST), Xinshuo Weng (NVIDIA), Raim Al-Rfou and Yin Zhou (Waymo).
Workshop timeframe:
· Submission site open: May 2
· Paper Submission: July 2
· Acceptance: Aug 7
· Camera-ready: Aug 17
Challenge timeframe:
· Registration open: April 24
· Training and validation data: May 2
· Test data: July 15
· Submission deadline: Aug 5
· Results: Aug 10
Organisers:
Fabio Cuzzolin, Andrew Bradley, Salman Khan, Izzeddin Teeti (Oxford Brookes University)
Gurkirt singh (ETH Zurich)
Eleonora Giunchiglia (TU Wien)
Mihaela Catalina Stoian (University of Oxford)
Reza Javanmard Alitappeh (Mazandaran University)
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