October 19th, 2021 
Daniela Lopez de Luise Intelligent Vehicles.
https://ardhendubehera.github.io/HPIV/
This workshop will explore challenges in the analysis and assessment
of potential developing hazards to advance the research and
development of hazard perception in autonomous driving. This requires
solving the situation awareness by accurate detection and anticipation
of positions, movements and actions performed by multiple road users
(pedestrians, vehicles, cyclists and so on) that are a key to address
the anticipation of a developing potential hazard.
Important dates:
* Submission Deadline: Oct 31 2021 (23:59 PST)
* Authors Notification: Nov 09, 2021 (23:59 PST)
* Camera Ready: Nov 15, 2021 (23:59 PST)
Keynote speakers:
Prof Mohan M Trivedi (University of California, San Diego, USA)
Prof Ming C Lin (University of Maryland, USA)
Prof C. V. Jawahar (International Institute of Information Technology,
Hyderabad, India)
We welcome submissions on the following topics, but are not limited to:
Early detection of developing road events
Dynamic scene understanding
Attention modelling and predicting road users’ intentions and path
Tracking road users (e.g., cars, pedestrians, animals, etc.)
Driver status monitoring and human-car interaction
Deep/machine learning for vehicle perception
Adversarial domain adaptation for autonomous driving
Real-time (deep learning) inference of developing hazards
On board embedded hazard perception systems
Computational behaviour analysis
Sensor fusion and multi-modal AI for road condition/situation awareness
Decision making via reinforcement and/or imitation learning
Hazard modelling, description, and comparison
Action planning for the handling of hazards
Assessment and metrics for hazard perception components and systems
Explainability and ethical implications of hazard perception and
automated decision making
Organizers:
Ardhendu Behera (Edge Hill University, UK)
R Venkatesh Babu (Indian Institute of Science, Bangalore, India)
Dima Damen (University of Bristol, UK)
Yonghuai Liu (Edge Hill University, UK)
C. S. Shankar Ram (Indian Institute of Technology Madras, India)
Nik Bessis (Edge Hill University, UK)
